JP2016076093A - Character recognition support device, character recognition support program, and character recognition support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique to predetermine whether character recognition of a recognition object is possible before a photographed image is fixed.SOLUTION: A character recognition support device includes: means for receiving a photographed image including a rectangular recognition object to be the object of character recognition; means for identifying predetermined areas of three corners or more in the photographed image including the recognition object based on coordinates information on a plurality of evaluation character strings in the recognition object registered in a storage section; means for performing character recognition of a partial image in the predetermined area to determine a relationship between a character string subjected to character recognition in the predetermined area and an evaluation character string in the recognition object; and display control means with which a user displays in an identifiable aspect whether character recognition about at least one axis is possible among a plurality of axes representing the posture of a rectangular recognition object from the relationship.SELECTED DRAWING: Figure 7A

Description

  The present invention relates to a character recognition support device, a character recognition support program, and a character recognition support method.

  Conventionally, in the financial industry and the like, when an account is opened, for example, a form such as a driver's license or an insurance card is used as information for verifying the identity of the account opener. Forms such as driver's licenses are read by a scanning device or OCR (Optical Character Reader) installed at a fixed position in a store such as a reception desk, and based on the read form data Identity verification was performed.

  In recent years, with the spread of ICT (Information and Communication Technology), there is a need to recognize a form such as a driver's license using a mobile terminal equipped with a camera function or the like. . By using a portable terminal equipped with a camera function or the like, for example, it is possible to recognize a form in a free place. In addition, as a portable terminal etc. provided with the camera function etc., a mobile phone, a smart phone, tablet PC (PC: Personal Computer), PDA (Personal Data Assistance), a notebook PC etc. can be illustrated, for example.

  When using an image photographed by a portable terminal or the like for form recognition, for example, it is necessary to deal with camera shake and rough positioning during form image capture. For example, image correction techniques such as camera shake correction and best shot extraction have been proposed as methods for removing camera shake from captured images. In addition, as a countermeasure against the positioning roughness, for example, it is conceivable to use a predetermined symbol mark or to provide a positioning guide frame as represented by a QR code (registered trademark) or the like.

  In addition, the following patent documents exist as prior art documents in which technologies related to the technologies described in this specification are described.

JP 2012-244252 A Patent No. 49562525 JP-A-7-254037

  When adopting the above-described image correction technology as a countermeasure against camera shake at the time of image capturing of the form, for example, whether or not the image after correction is an appropriate image for performing character recognition in the form, Judgment is not possible at the time of taking a form. For this reason, when the image after correction is difficult to recognize characters, the correction processing for the captured image is performed again, and for example, the photographing action such as the photographer holding the mobile terminal again and pressing the shutter occurs. There was a fear.

Further, when a predetermined symbol mark is employed for positioning, such as a QR code (registered trademark), if the code is a two-dimensional code, the read data can have error correction information. For this reason, the detection accuracy of the data portion is more than the detection accuracy of the symbol mark. For example, even if an unclear portion exists in the captured image including the read data, the read data of the unclear image portion can be corrected using the error correction information. However, in a form such as a driver's license, there is no error correction code for characters in the form. For this reason, in the case where there are unclear portions in which the character recognition is difficult in the captured image, such as when the mobile terminal is tilted, the photographing action for capturing the image capable of character recognition is repeated. It becomes.

  Even when a guide frame for positioning is provided, it is assumed that the subject is imaged while tilting in the depth direction, such as when the mobile terminal is tilted with the form of the subject within the guide frame. it can. When the subject is imaged while tilting in the depth direction, for example, image correction by trapezoidal correction is possible. However, it can be determined only after the correction process whether the image after the keystone correction is an image capable of character recognition. For this reason, when an appropriate image is not obtained, the photographing action of the image capable of character recognition is repeated. Moreover, there is a possibility that the character portion in the form on which the keystone correction processing has been performed is corrected erroneously.

In one aspect, the present invention provides a technique for determining in advance whether or not a character to be recognized can be recognized before a captured image is determined.

  The above technique can be exemplified by the following configuration of the character recognition support apparatus. That is, the character recognition support device is based on means for receiving a captured image including a rectangular recognition target object that is a character recognition target, and coordinate information of a plurality of evaluation character strings in the recognition target object registered in the storage unit. , Means for specifying a predetermined area of three or more corners in a captured image including a recognition object, character recognition for a partial image in the predetermined area, and character strings recognized in the predetermined area and the recognition object In a manner in which the user can identify whether or not the character can be recognized on at least one of the plurality of axes indicating the posture of the rectangular recognition target object based on the relationship. Display control means for displaying.

  According to the character recognition support device, it is possible to provide a technique for determining in advance whether or not a character to be recognized can be recognized before the captured image is determined.

FIG. 6 is an explanatory diagram illustrating a form image quality evaluation process according to the first exemplary embodiment. FIG. 6 is an explanatory diagram illustrating a form image quality evaluation process according to the first exemplary embodiment. It is a figure which shows the hardware structural example of the character recognition assistance apparatus of Example 1. FIG. It is a figure which shows an example of character string DB for evaluation. 3 is a flowchart illustrating the entire character recognition process according to the first embodiment. FIG. 4B is a flowchart illustrating the image quality evaluation process of S1 illustrated in FIG. 4A. FIG. 4B is a flowchart illustrating the image quality evaluation process of S1 illustrated in FIG. 4A. It is a figure which shows the example of a display of the captured image of the form in imaging | photography. It is a figure which shows the hardware structural example of the character recognition assistance apparatus of Example 2. FIG. It is explanatory drawing explaining calculation of the gravity center coordinate with respect to the character string for evaluation. It is explanatory drawing explaining the whole gravity center coordinate of the character string for evaluation of three corners. It is explanatory drawing explaining the angle with respect to the gravity center position of the character string for evaluation of three corners centering on a gravity center position. It is explanatory drawing explaining the positioning assistance which concerns on translation. It is explanatory drawing explaining the positioning assistance which concerns on rotational movement. It is explanatory drawing explaining the positioning assistance which concerns on the back-and-forth movement in the depth direction. It is explanatory drawing explaining the positioning assistance which concerns on distortion correction. 10 is a flowchart illustrating an example of an entire character recognition process according to the second embodiment. 7B is a flowchart illustrating the image quality evaluation process of S21 illustrated in FIG. 7A. It is a flowchart which illustrates the form state estimation process of S23 illustrated in FIG. 7A. It is a flowchart which illustrates the two corner estimation process of S43 illustrated in FIG. 7C. It is a flowchart which illustrates the three corner estimation process of S42 illustrated in FIG. 7C. It is a flowchart which illustrates the translation estimation process of S51 illustrated to FIG. 7D and 7E. It is a flowchart which illustrates the rotation estimation process of S53 illustrated to FIG. 7D and 7E. It is a flowchart which illustrates the back-and-front estimation process of S55 illustrated to FIG. 7D and 7E. It is a flowchart which illustrates the distortion estimation process of S57 illustrated in FIG. 7E. It is a flowchart which illustrates the state display process of S24 illustrated in FIG. 7A. It is a flowchart which illustrates the translation display process of S102 illustrated in FIG. 8A. It is a flowchart which illustrates the rotation display process of S104 illustrated in FIG. 8A. It is a flowchart which illustrates the back-and-front display process of S106 illustrated in FIG. 8A. It is a flowchart which illustrates the distortion display process of S108 illustrated in FIG. 8A.

Hereinafter, a character recognition support apparatus according to an embodiment will be described with reference to the drawings. The configuration of the following embodiment is an exemplification, and the character recognition support apparatus is not limited to the configuration of the embodiment.
Hereinafter, the character recognition support apparatus will be described with reference to FIGS. 1 to 8.

<Example 1>
1A and 1B exemplify the image quality evaluation processing of a form to be recognized by the character recognition support apparatus according to the first embodiment. The character recognition support apparatus according to the present embodiment is an information processing apparatus having a camera function that acquires a form to be recognized as a captured image, for example. Examples of the information processing apparatus having a camera function include a smartphone, a tablet PC (PC: Personal Computer), a PDA (Personal Data Assistance), and a notebook PC.
For example, a mobile phone, a digital camera, or a game machine may be used as long as the information processing apparatus has a camera function for acquiring a recognition target form as a captured image and can recognize characters from the captured image.

  The character recognition support device according to the present embodiment, for example, determines whether or not a specific character string (including characters) described in a predetermined area in a recognition target form can be recognized in the form. For evaluation. For example, position information (coordinate information) in the image area corresponding to the description position in the form and character information included in the character string are defined in association with the character string specified as the evaluation character string. The character recognition support device, for example, the position information (coordinate information) in the image area corresponding to the description position of the character string specified as the character string for evaluation, the character information, and the form to be recognized during photographing. Perform image quality evaluation of image data. The image quality evaluation for the image data being photographed is performed for each time-series image data captured at a constant periodic interval such as 10 ms. In the image quality evaluation of the character recognition support apparatus according to the present embodiment, it is determined that the image data of the form being photographed has an image quality for correctly recognizing characters in the form, for example.

  For example, the character recognition support apparatus of the present embodiment can read a specified character string in a partial area including a character string specified as an evaluation character string in an image area including a form image being shot. It is determined that the image data is captured. The character recognition device can, for example, read image data of a partial region including the character string specified as the evaluation character string described above for each time-series captured image including the form image being captured (character recognition is possible). ) Is determined.

  For example, when it is possible to determine that the image data of the partial area in the image area can be read, the character recognition support device according to the present embodiment displays the time-series captured image as the determination target in the character described in the form. It is determined that the image quality is sufficient for character recognition. Then, the character recognition support apparatus determines, for example, a captured image that is being captured as a determination target that has been determined to have sufficient image quality for character recognition as recognition target image data that can correctly recognize characters in the form. . The character recognition support device, for example, performs character recognition of image data in the form area for a captured image that has been determined as image data that can correctly recognize characters in the form, and detects the character in the form detected by character recognition. Is output as a detection data character string.

  The explanatory diagram illustrated in FIG. 1A is an explanatory diagram when a rectangular driving license is adopted as a form to be recognized. In the explanatory diagram of FIG. 1A, an area A1 represents the entire area of the driver's license in which information related to the license of the subject is described.

  For forms such as driver's licenses, insurance cards, passports, etc. used for identity verification for account opening etc. in the financial industry etc., for specifying the information described in the form for each type of form, for example A stylized character string pattern previously described in a form such as an item name is included. Further, in a form having a standardized character string pattern, the description position on the form in which the character string pattern is described tends to be predetermined.

  For example, in the example of the driver's license shown in FIG. 1A, the area A1 has a standardized name such as “name”, “address”, “delivery”, “number” indicating item names representing information described in the form. Contains a string. The stylized character string includes character information (word or the like) that becomes a character string, and is described in a predetermined position area on the form. In addition to the above-described character string, the area A1 includes a standardized character string such as “Nissei” representing the birth date and characters such as “No.” representing the unit.

  For example, in the example of the driver's license in FIG. 1A, a character string such as “name” is described in the area A11 at the upper left end of the area A1, and a character string such as “Nissei” is the area A12 at the upper right end of the area A1. It is described in. In the example of the driver's license in FIG. 1A, a character string such as “number” is described in, for example, the region A13 at the lower left end of the region A1, and a character such as “No.” is a region below the center of the region A1. A14.

  The area A11 and the area A12 in a plan view state are arranged at substantially the same height in the left-right direction in which the character string is described (a direction parallel to the longitudinal direction of the rectangle). The areas A13 and A14 are arranged at substantially the same height in the left-right direction in which the character string is described. The area A11 and the area A13 are arranged at substantially the same width position in the vertical direction (direction parallel to the rectangular short direction) perpendicular to the direction in which the character string is described.

  As illustrated in FIG. 1A, in the form to be recognized, the character information of the character string described in the form and the description position of the character string are determined in advance. For example, a character string such as “name” includes character information “name” and “name”, and is described in an area A11 at the upper left corner of the form. For example, a character string such as “number” includes character information “number” and “number”, and is described in an area A13 at the lower left corner of the form.

  For example, by using a plurality of captured image partial areas corresponding to a description area of a character string in which a description position in the form is predetermined as a position reference at the time of capturing the form, the form in the image area being photographed is used. It is possible to perform positioning. For example, when imaging a planar body such as a form, the geometrical placement of the planar body to be imaged can be uniquely determined by specifying three positions on the plane.

  When the document to be imaged is a rectangular planar body, for example, three regions including at least three corners among the four corners of the document etc. are adopted as the three positions on the plane to be specified. be able to. When characters / character strings described in three areas including at least three corners among the four corners of the form to be photographed are recognized, the entire area of the form is This is because it can be determined that the camera or the like is in focus.

  That is, by adopting character strings described in three regions including the three corners of a form that is a rectangular planar body as an evaluation character string, and performing recognition evaluation of character information included in each character string, It is possible to determine the in-focus state of the entire form to be photographed. The image data of the form photographed in the focused state has an image quality for correctly recognizing characters in the form. By appropriately recognizing and evaluating character strings (evaluation character strings) described in three or more areas including three corners of a rectangular form to be imaged, positioning of the appropriate imaged object and imaging It becomes possible to focus the object at the same time.

  In the example of FIG. 1A, for example, among the four corners of the form, “name” described in the upper left area A11, “Nissei” described in the upper right area A12, and lower left area A13. The described character string such as “number” is adopted as the evaluation character string. The partial areas of the captured image corresponding to the areas A11, A12, and A13, which are the description areas of each character string, serve as the positioning position reference when the form is captured. For example, when a form is captured, evaluation of character recognition of evaluation character strings such as “name”, “Nissei”, and “number” in partial areas corresponding to the areas A11, A12, and A13 in the image area being shot is performed. By performing the above, it is possible to determine the appropriateness of the positioning of the form and the in-focus state of the entire form.

  FIG. 1B illustrates an explanatory diagram of a captured image of the driver's license illustrated in FIG. 1A in the image area. In the image example of FIG. 1B, an image area Z0 represents an image area of a character recognition support apparatus having a camera function, and a partial area Z1 of a captured image (image data) of a form to be imaged is included in the image area Z0. included.

  The captured image illustrated in FIG. 1B is an example of an image when the form to be imaged is properly positioned, for example. As an appropriate positioning of the form, for example, as shown in FIG. 1B, the edges Z1a-Z1d of the partial area Z1 of the captured image of the form and the edges Z0a-Z0d of the image area Z0 of the character recognition support device are parallel to each other. A state in which the center positions of the partial area Z1 and the image area Z0 overlap can be exemplified. The image size of the area Z1 of the captured image of the captured form is, for example, a size that can correctly read (character recognition) the characters described in the form.

As illustrated in FIG. 1B, when the document to be imaged is properly positioned, the image area Z0 corresponds to, for example, each of the areas A11, A12, A13, and A14 illustrated in FIG. 1A. Partial regions Z11, Z12, Z13, and Z14 are included. The partial area Z11 is an image area corresponding to the area A11 in which the character string “name” in the form example of FIG. 1A is described. Similarly, the partial area Z12 is an area in which the character string “Nissei” is described. This is an image area corresponding to A12. The partial area Z13 is an image area corresponding to the area A13 in which the character string “number” in the form example of FIG. 1A is described. Similarly, the partial area Z14 includes the character “
This is an image area corresponding to the area A14 in which “No.” is described.

  In the partial area Z11, for example, character information such as “name” and “name” included in the character string “name” described in the area A11 can be recognized. Similarly, for example, in the partial area Z12, character information such as “day” and “raw” included in the character string “Nissho” described in the area A12 can be recognized. In the partial area Z13, character information such as “No.” and “No.” included in the character string “No.” described in the area A13 can be recognized. In the partial area Z14, the character “No.” described in the area A14 can be recognized. Can be recognized.

  In this way, in the focused state in which the form to be photographed is properly positioned and the characters described in the form can be correctly recognized, the characters in the form adopted as the evaluation character string are displayed in the image area Z0. A plurality of partial areas in which the column can be recognized are included. Each partial area in the image area Z0 is located in a predetermined image area corresponding to the description position (area) in the form of the character string adopted as the evaluation character string.

  Therefore, the coordinates of each partial area in the image area Z0 with respect to the form to be photographed are specified as a position reference for positioning, and character recognition is performed on the image data of each specified partial area, thereby ensuring proper positioning of the form. Now, it is possible to simultaneously determine the in-focus state of the entire form.

  For example, the position information (coordinate information) of each partial area in the image area Z0 with respect to the appropriate shooting position of the form to be imaged is experimentally specified in advance, and the position information of each partial area in the specified image area Z0 is obtained. Stored as a database (DB: Data Base, hereinafter referred to as “DB”). Here, the appropriate shooting position refers to, for example, a case where the relationship between the image of the captured form in the image region Z0 and the image region Z0 has the relationship described in FIG. 1B.

  The position information of each partial area in the image area Z0 can be expressed as, for example, two-dimensional coordinate information in the image area Z0. For example, in the example of FIG. 1B, the vertical direction in the image area Z0 is the Y-axis direction, the horizontal direction is the X-axis direction, and the upper left pixel position and the lower right pixel position of the partial area corresponding to the evaluation character string are Can be specified. The position information of the partial area may be specified for each character included in the evaluation character string. The position information of each partial area in the image area Z0 held in the DB is associated with, for example, character information of a character string adopted as an evaluation character string in a form to be photographed.

  Then, when the form is photographed, for example, the position information of each partial area and the character information of the character string held in the DB are referred to, and character recognition for each partial area is performed on the received captured image being photographed. Character recognition for each partial area is performed using character information included in the evaluation character string in the form associated with the position information of each partial area.

  By evaluating the character recognition of characters and character strings corresponding to three or more partial areas on the received captured image, the appropriateness of positioning of the form to be photographed and the characters in the form It is possible to determine the image quality for correct recognition.

  1A and 1B, stylized characters / character strings are used as evaluation character strings. However, the evaluation character strings are described in, for example, partial areas at four corners for each form to be photographed. It may be specified from the character / character string.

For example, when the sizes of the forms to be photographed are common, it is possible to share the position information (coordinate information) of each partial area in the image area Z0 with respect to the appropriate photographing position of the form to be photographed. Prior to taking a form, it is possible to specify the position information of each partial area in the image area Z0 in which the evaluation character strings at the four corners are described for the appropriate taking positions for each form having a common size.

  For example, before taking a form, the area A11-A14 in the form corresponding to the partial areas Z11-Z14 in the image area corresponding to the size of the form is specified. Then, the character / character string described in the area A11-A14 in the specified form is adopted as the evaluation character string, and is temporarily stored in a memory or the like. Then, based on the stored character / character string and the position information of each partial area for each form having a common size, the character recognition is evaluated in three or more partial areas, and the form to be photographed is positioned. And the image quality for correctly recognizing characters in the form may be determined. For each size of the form to be photographed, it is possible to determine the appropriate positioning at the time of photographing and the image quality for correctly recognizing the characters in the form.

  In addition, when characters or character strings in one or two partial areas among three or more partial areas are correctly recognized, for example, a display such as an LCD on which a form image being captured is displayed The recognized partial area may be presented on the screen. By presenting a partially recognized partial area with respect to the form image being photographed, it is possible to assist tilting and moving the camera for positioning with respect to the form being photographed.

  In the description of FIGS. 1A and 1B, the four corner regions are used, but the processing of the character recognition apparatus of the present embodiment is not limited to the four corners. For example, in a captured image of a rectangular form, the image quality of the area corresponding to the four corners is most likely to deteriorate. In other words, when the image quality of the area corresponding to the four corners is image recognizable, the image of the form is captured. There is a tendency that the entire image has an image quality capable of character recognition.

  However, for example, when selecting an area having three or more corners, a target area can be appropriately selected from the four corners according to the size, size, and arrangement position in the form. However, the character string positions to be evaluated are desirably dispersed within the form image and desirably not close to each other.

〔Device configuration〕
FIG. 2 illustrates an example of a hardware configuration of the character recognition support device 10 of this embodiment. The character recognition support apparatus 10 illustrated in FIG. 2 has a so-called general computer configuration. The character recognition support apparatus 10 illustrated in FIG. 2 includes a CPU (Central Processing Unit) 11, a main storage unit 12, an auxiliary storage unit 13, and an input unit 14 connected to each other via a connection bus B1.
, An output unit 15 and a communication unit 16. The main storage unit 12 and the auxiliary storage unit 13 are recording media that can be read by the character recognition support device 10.

  In the character recognition support device 10, the CPU 11 develops a program stored in the auxiliary storage unit 13 in a work area of the main storage unit 12 so as to be executable, and controls peripheral devices through the execution of the program. Thereby, the character recognition assistance apparatus 10 can implement | achieve the function corresponding to the predetermined objective.

  In the character recognition support device 10 illustrated in FIG. 2, the CPU 11 is a central processing unit that controls the entire character recognition support device 10. The CPU 11 performs processing according to a program stored in the auxiliary storage unit 13. The main storage unit 12 is a storage medium in which the CPU 11 caches programs and data and expands a work area. The main storage unit 12 includes, for example, a RAM (Random Access Memory) and a ROM (Read Only Memory).

The auxiliary storage unit 13 stores various programs and various data in a recording medium in a readable and writable manner. The auxiliary storage unit 13 is also called an external storage device. The auxiliary storage unit 13 stores an operating system (OS), various programs, various tables, and the like. The OS includes a communication interface program that exchanges data with an external device or the like connected via the communication unit 16. Examples of the external device include other information processing devices and external storage devices on a connected network.

The auxiliary storage unit 13 is, for example, an EPROM (Erasable Programmable ROM), a solid state drive device, a hard disk drive (HDD, Hard Disk Drive) device, or the like. Further, as the auxiliary storage unit 13, for example, a CD drive device, a DVD drive device, a BD (Blu-ray (registered trademark) Disc) drive device, or the like can be presented. Examples of the recording medium include a silicon disk including a nonvolatile semiconductor memory (flash memory), a hard disk, a CD, a DVD, a BD, a USB (Universal Serial Bus) memory, and a memory card.

  The input unit 14 receives an operation instruction or the like from a user or the like. The input unit 14 is an input device such as an input button, a pointing device such as a keyboard and a touch panel, a wireless remote controller, and a microphone. The input unit 14 includes an input device that acquires image information of a form to be photographed, such as the camera 14a. Information input from the input unit 14 is notified to the CPU 11 via the connection bus B1.

The output unit 15 outputs data processed by the CPU 11 and data stored in the main storage unit 12. The output unit 15 includes a CRT (Cathode Ray Tube) display, an LCD (Liquid Crystal Display) 15a, a PDP (Plasma Display Panel), and an EL (Electroluminescence).
) Output devices such as panels, organic EL panels, printers and speakers. The communication unit 16 is an interface with a network or the like, for example.

  The character recognition assisting apparatus 10 is illustrated in FIG. 2 together with the execution of the target program, for example, by the CPU 11 reading and executing the OS, various programs, and various data stored in the auxiliary storage unit 13 into the main storage unit 12. Realizes each processing means. The character recognition support apparatus 10 realizes the image quality evaluation unit 101 and the detection data processing unit 102 illustrated in FIG. 2 together with the execution of the target program. However, any of the processing means illustrated in FIG. 2 or a part of them may be operated by a hardware circuit. Note that the character recognition support apparatus 10 includes, for example, an evaluation character string DB 201 in the storage unit 13 as a storage destination of data to be referred to or managed by each of the above processing units.

  Any one of the processing units illustrated in FIG. 2 may be included in another information processing apparatus or the like. For example, an information processing apparatus including an image quality evaluation unit 101, an information processing apparatus including a detection data processing unit 102, and an evaluation character string DB 201 stored in an external storage device are connected via a network, and the character recognition support apparatus 10 May function as The character recognition support device 10 can be realized as a cloud that is a group of computers on the network N, for example.

[Process block configuration]
In the explanatory diagram illustrated in FIG. 2, the character recognition support apparatus 10 includes processing units of an image quality evaluation unit 101 and a detection data processing unit 102 executed by the CPU 11. In addition, the character recognition support apparatus 10 includes, for example, an evaluation character string DB 201 in the auxiliary storage unit 13 as a storage destination of data to be referred to or managed by each of the above processing units.

  For example, the image quality evaluation unit 101 can correctly recognize the characters described in the form of the captured image (image data) of the form being photographed based on the evaluation character string registered in the evaluation character string DB 201. To evaluate the image quality.

For example, the character recognition support apparatus 10 receives a captured image of a form being photographed via the camera 14 a of the input unit 14 or the like. The image data of the captured image being shot is received by the character recognition device 10 in a time series with a constant periodic interval of, for example, 10 ms, and temporarily stored in the buffer memory or the like of the main storage unit 12. The image data of the captured image being captured stored in the buffer memory or the like is read in chronological order, for example, on a display screen such as the LCD 15a of the character recognition support apparatus 10 and a monitor image representing the captured state of the form being captured. Is displayed. In the character recognition assisting apparatus 10, for example, a document to be imaged is positioned and a shutter operation is performed by a user operation with reference to a captured image being captured displayed on a display screen such as the LCD 15a. The captured image of the form being photographed displayed on the LCD 15a or the like is determined, for example, by a user's shutter operation.

  The image quality evaluation unit 101 refers to, for example, the position information (coordinate information) of each partial area associated with the evaluation character string, and each part of the image data of the form being captured stored in the buffer memory or the like. Identify the area. Then, for example, the image quality evaluation unit 101 performs character recognition on the image data of each specified partial area based on the character information of the registered evaluation character string. Character recognition is performed, for example, by collation such as pattern matching with character information of characters included in the evaluation character string. Character recognition based on the character information of the registered evaluation character string is performed for each partial area.

  For example, if the character recognition of the character information of the evaluation character string has been recognized in all partial areas or a predetermined number or more of partial areas as a result of character recognition of each partial area, the image quality evaluation unit 101 is currently shooting. It is determined that the captured image to be evaluated has a sufficient image quality. For example, the image quality evaluation unit 101 determines that the captured image to be evaluated during shooting has sufficient image quality to recognize characters such as characters described in the form.

  For example, when the image quality evaluation unit 101 determines that the captured image being captured has sufficient image quality for character recognition such as characters described in the form, for example, the image data of the captured image is mainly used. The data is temporarily stored in a predetermined area of the storage unit 12. The captured image that is determined by the image quality evaluation unit 101 to have sufficient image quality for character recognition is delivered to the detection data processing unit 102, for example.

  For example, the detection data processing unit 102 performs character recognition of the image data area of the form based on the captured image delivered from the image quality evaluation unit 101, and detects the character string in the form detected by character recognition as the detection data character string. Output as. The character string in the form detected by the character recognition is output to the output unit 15 provided in the character recognition support device 10, for example.

  Note that the image quality evaluation unit 101 may evaluate the image quality of the captured image being captured by an evaluation value representing the degree of matching of the recognized characters included in the evaluation character string, for example, in character recognition of each partial region. .

  For example, in the character string “name” in the area A11 of FIG. 1A, for the character “name”, a character candidate recognized as “name”, a character candidate recognized as “ta”, and a character candidate recognized as “mouth” Is assumed. For example, if the evaluation value of the character candidate “name”, the evaluation value of the character candidate “ta”, and the evaluation value of the character candidate “mouth” are obtained as a result of character recognition in the partial area, the true character “name” The certainty factor for "" can be expressed by the following formula (1).

  The certainty factor obtained by the mathematical formula (1) is, for example, an index indicating whether or not the character to be recognized is a character that has been adopted as a character candidate.

Certainty factor = (evaluation value of the highest character candidate) / (evaluation value of the second highest character candidate)... (1)
For example, when the evaluation value indicating the degree of matching between the character to be recognized and the candidate character is obtained in the range of “0-100”, the evaluation value of the highest character candidate is “100”, and the second highest character candidate It is assumed that the evaluation value is obtained as “30”. The certainty factor at this time is obtained as “(100) / (30) = 3.3” from Equation (1). When the certainty factor is obtained as “3.3”, for example, it indicates that the recognition result of the highest character candidate is three times or more larger than the recognition result of the second highest character candidate. This indicates that the probability that a character candidate having a high evaluation value is adopted is relatively small.

Therefore, when the threshold value Th is set for the certainty factor obtained by the mathematical formula (1) and the relationship “confidence ≧ Th” is satisfied, for example, the captured image to be evaluated during photographing is included in the form. It may be determined that the image quality is sufficient for recognizing characters such as written characters.
[Database configuration]
FIG. 3 illustrates an example of data registered in the evaluation character string DB 201. The character string data for evaluation illustrated in FIG. 3 is an example when the driver's license illustrated in FIG. 1A is a form to be recognized. As described with reference to FIG. 1A, “Name”, “Nissei”, “No.”, “No.”, which are character strings described in the four corner areas A1-A4 in the form, are adopted as the evaluation character strings. ing. In the evaluation character string DB 201, for example, data of the evaluation character string illustrated in FIG. 3 is registered for each form that is a character recognition target.

  The evaluation character string DB 201 illustrated in FIG. 3 includes columns of “No”, “Char #”, “char”, “sx”, “sy”, “ex”, “ey”, and “character”. The evaluation character string DB 201 includes a record for each “No”, and the record for each “No” further includes a sub-record for each character included in the evaluation character string.

  In the “No” column, an identification number for uniquely identifying a partial area in the image area in the captured image corresponding to the area A1-A4 in the form in which the evaluation character string is described is stored. The “Char #” column stores the number of characters included in the evaluation character string. In the “char” column, the identification number of the character included in the evaluation character string is stored.

  The “sx” column stores coordinate information in the horizontal direction indicating the position of the upper left pixel in the image area of the character included in the evaluation character string. The “sy” column stores coordinate information in the vertical direction indicating the position of the upper left pixel in the image area of the character included in the evaluation character string. The “ex” column stores coordinate information in the horizontal direction indicating the position of the lower right pixel in the image area of the character included in the evaluation character string. The “ey” column stores vertical coordinate information indicating the position of the lower right pixel in the image area of the character included in the evaluation character string. The “character” column includes character information such as a word included in the evaluation character string.

  In the evaluation character string DB 201 illustrated in FIG. 3, for example, the evaluation character string “name” described in the area A11 at the upper left end illustrated in FIG. 1A stores “0” in the “No” column. Corresponding to the record of the partial area. Since the character information included in the evaluation character string “name” is “name” and “name”, the “Char #” column stores “2” as the number of characters. The record in the partial area corresponding to the evaluation character string “name” has a sub-record corresponding to the number of characters stored in the “Char #” column. The record in the partial area corresponding to the evaluation character string “name” has sub-records in which “0” and “1” are stored in the “char” column.

For example, an evaluation character string “name” described in a form or the like is described as “name” and “name” sequentially from the left side. In the evaluation character string DB 201, for example, identification numbers stored in the “char” column are sequentially given from the left side of the evaluation character string. In the example of FIG. 3, “0” is stored in the “char” column of the sub-record corresponding to “Mr” of the evaluation character string, and “
“1” is stored in the “char” column of the sub-record corresponding to “name”.

  The “sx”, “sy”, “ex”, and “ey” columns of the sub-record corresponding to the evaluation character string “Fr” are respectively in the image area corresponding to the evaluation character string “Fr.”. The coordinates indicating the position information of the partial area are stored. For example, in the “sx” column, coordinate information “10” in the left-right direction indicating the position of the upper left pixel of the partial region corresponding to “Mr.” is stored. For example, the “sy” column stores vertical coordinate information “10” indicating the position of the upper left pixel in the partial area corresponding to “Mr.”. For example, in the “ex” column, horizontal coordinate information “20” indicating the position of the lower right pixel in the partial region corresponding to “Mr.” is stored. For example, the “ey” column stores vertical coordinate information “20” indicating the position of the lower right pixel in the partial region corresponding to “Mr.”.

  Similarly for the “name” of the evaluation character string, the coordinates indicating the position information of the partial area in the image area corresponding to the “name” of the evaluation character string are “sx”, “sy”, Stored in the “ex” and “ey” columns. For example, the “sx” column stores horizontal coordinate information “20” indicating the position of the upper left pixel of the partial area corresponding to “name”. For example, the “sy” column stores vertical coordinate information “10” indicating the position of the upper left pixel of the partial area corresponding to “name”. For example, in the “ex” column, horizontal coordinate information “30” indicating the position of the lower right pixel in the partial region corresponding to “name” is stored. For example, the “ey” column stores vertical coordinate information “20” indicating the position of the lower right pixel in the partial area corresponding to “name”.

  “Name” as the evaluation character string is described in the same description line in the form. Therefore, at the time of registration in the evaluation character string DB 201, the evaluation character strings described in the same description line in the form have the same coordinate information indicating the vertical pixel positions of the partial areas corresponding to the respective characters. The value will be stored.

  In the example of FIG. 3, for example, “10”, which is the same coordinate value, is stored in the “sy” column of the record in which “0” and “1” are stored in the “No” column, and the “ey” column. Stores “20” which is the same coordinate value. Also, for example, the same coordinate value “100” is stored in the “sy” column of the record in which “2” and “3” are stored in the “No” column, and the same coordinate is stored in the “ey” column. The value “110” is stored. The evaluation character string of the record in which “0” is stored in the “No” column and the evaluation character string of the record in which “1” is stored are in the same description line in the form subject to character recognition. It can be seen that it is described. Similarly, the evaluation character string of the record in which “2” is stored in the “No” column and the evaluation character string of the record in which “3” is stored are the same in the form subject to character recognition. It can be seen that it is described in the description line.

  In the example of FIG. 3, the evaluation character string DB 201 has been described on the assumption that data of evaluation character strings of partial areas associated with the character strings of the four corner areas in the form are registered. As described with reference to FIG. 1B, the captured image can be positioned in the image area by specifying three or more partial areas. For this reason, the number of data of the evaluation character string registered in the evaluation character string DB 201 may be data of three corners arbitrarily selected from the four corners in the form. For example, in the example of FIG. 3, “Name”, “Nissei”, “Number” including a plurality of characters among “Name”, “Nissei”, “No.”, “No.” adopted as the evaluation character string. May be selected and registered in the evaluation character string DB 201.

Further, the position information (coordinate information) of the partial area registered in the evaluation character string DB 201 may be set so as to include the play area (margin area). By giving a margin to the position information of the partial area registered in the evaluation character string DB 201, for example, fine (several pixels)
It is possible to recognize a character including a misalignment.

[Process flow]
Hereinafter, the character recognition process of the character recognition support device 10 of this embodiment will be described with reference to the flowchart illustrated in FIGS. 4A to 4C. FIG. 4A is an example of a flowchart showing the entire character recognition process. In the flowchart illustrated in FIG. 4A, the start of the character recognition process can be exemplified by, for example, the time when a captured image of a form that is a target of the character recognition process is received.

  For example, the character recognition support recognition device 10 receives a captured image of a form being photographed via the camera 14a of the input unit 14 or the like. The character recognition assisting apparatus 10 receives image data of a captured image being captured in a time series with a constant periodic interval of, for example, 10 ms. The received image data of the captured image being captured is temporarily stored in the buffer memory or the like of the main storage unit 12 in chronological order. The image data of the captured image being captured stored in the buffer memory or the like is read in chronological order, for example, on a display screen such as the LCD 15a of the character recognition support apparatus 10 and a monitor image representing the captured state of the form being captured. Is displayed. For example, the character recognition support apparatus 10 performs the character recognition processing illustrated in FIG. 4A on the image data of the captured image being captured read from the buffer memory or the like in chronological order.

  In the flowchart illustrated in FIG. 4A, the character recognition assisting apparatus 10 performs image quality evaluation processing on the image data of the captured image being captured read from, for example, a buffer memory (S1). The image quality evaluation process is performed, for example, based on evaluation character string data (also referred to as an image quality evaluation character string table) of a document being photographed registered in the evaluation character string DB 201. In the image quality evaluation process, for example, the image data of the captured image being shot is positioned at an appropriate position in the image area, and the image data of the captured image being shot is for correctly recognizing characters in the form. It is determined whether the image quality is sufficient. For example, the character recognition support device 10 passes the determination result of the image quality evaluation process of S1 to the process of S2. The image quality evaluation process in S1 will be described with reference to FIGS. 4B and 4C.

  For example, the character recognition support apparatus 10 determines whether or not the image data of the captured image being processed has sufficient image quality for correctly recognizing characters in the form based on the determination result delivered from the image quality evaluation process of S1. Is determined (S2). Whether or not the image quality of the captured image being processed has sufficient image quality is determined by, for example, flag information added to the image data of the captured image being processed.

  For example, when the flag information of the flag value “1” is added to the image data of the captured image being processed (S2, “Y”), the character recognition assisting apparatus 10 proceeds to the process of S3. In the process of S3, the character recognition assisting apparatus 10 temporarily stores, for example, image data of the captured image being processed in a predetermined area of the main storage unit 12. Then, for example, the character recognition assisting apparatus 10 performs character recognition on the data area of the image area Z1 illustrated in FIG. 1B where the form of the captured image is captured. Character recognition of the data area in the image area Z1 is performed by, for example, the detection data processing unit 102. The character recognition support device 10 outputs, for example, character information in a form detected by character recognition to the output unit 15 of the character recognition support device 10 as a detection data character string, and performs character recognition processing on the captured image being processed. finish.

  On the other hand, for example, when the flag information of the flag value “1” is not added to the image data of the photographed image being processed (S2, “N”), the character recognition assisting apparatus 10 skips the process of S3. Then, the character recognition process for the captured image being processed ends. For example, the character recognition support device 10 continues the character recognition process on the image data of the next captured image read out from the buffer memory or the like in time series. The character recognition process is repeatedly executed until, for example, character recognition described in the form is performed.

  Next, details of the image quality evaluation process of S1 illustrated in FIG. 4A will be described with reference to the flowchart illustrated in FIG. 4B. In the flowchart illustrated in FIG. 4B, for example, the character recognition assisting apparatus 10 adds flag information that sets the “image quality flag” to “0” to the image data of the captured image being processed (S11). The flag information is information for identifying a binary state by a single bit such as “0” or “1”, for example. In the process of S11, the character recognition assisting apparatus 10 sets flag information that sets “image quality flag” to “0” as an initial value for the image data of the captured image being processed.

  In the process of S12, for example, the character recognition support device 10 refers to the evaluation character string DB 201, and reads evaluation character string data (image quality evaluation character string table) corresponding to the form being photographed. The read evaluation character string data is temporarily stored in a predetermined area of the main storage unit 12, for example.

  In the process of S13, the character recognition assisting apparatus 10 performs character recognition for the partial region of the captured image being processed, for example, based on the evaluation character string data read in the process of S12.

  For example, the character recognition support apparatus 10 specifies a coordinate area corresponding to the evaluation character string in the image area from the coordinate information of each partial area associated with the evaluation character string. Then, the character recognition support apparatus 10 performs character recognition, for example, for image data of the specified coordinate area by collation such as pattern matching with characters associated with the coordinate area. For example, the character recognition support device 10 performs character recognition for each character included in the evaluation character string for each partial region in the image region corresponding to the description region at three or more corners of the form to be subjected to character recognition processing. Run.

  In the process of S14, the character recognition support apparatus 10 can recognize all the characters included in the evaluation character string, for example, for each partial area corresponding to the description area at three or more corners of the form in the image area being processed. It is determined.

  For example, when all the characters included in the evaluation character string can be recognized for each partial region corresponding to the description region at three or more corners of the form (S14, “Y”), the character recognition support device 10 The process proceeds to S15. In the process of S15, the character recognition support apparatus 10 determines that the image data of the captured image being processed has sufficient image quality for correctly recognizing characters in the form, and is given in the process of S11. Also, “1” is set to the flag value of “image quality flag”. For the image data of the captured image being processed, the character recognition assisting apparatus 10 that has set the flag value of the “image quality flag” to “1” ends the image quality evaluation process being processed.

  On the other hand, when the character recognition support apparatus 10 cannot recognize all the characters included in the evaluation character string, for example, for each partial area corresponding to the description area at three or more corners of the form (S14, “N”). Then, the image quality evaluation process being processed is terminated.

  In the process of S14, for example, a case is assumed in which all characters in the evaluation character string for one or two partial areas out of three or more partial areas are recognized. In this case, for example, the character recognition assisting apparatus 10 may temporarily store the coordinate information of the corresponding part in a predetermined area of the main storage unit 12 and end the image quality evaluation process being processed. The character recognition support device 10 displays, for example, an LCD on which a form image of a recognized partial region is being photographed based on the coordinate information of the corresponding portion of the partial region in which all characters of the evaluation character string have been recognized. It is also possible to present it superimposed on the display screen.

FIG. 4D illustrates a display example of a character-recognized partial area displayed on an LCD or the like. In the display example of FIG. 4D, a region Z1 represents a captured image of a form that is being shot, and a region Z11.
-Z14 is a partial area in the image area corresponding to each character string adopted as the evaluation character string. In the captured image of the form being photographed, the region Z11 corresponds to the upper left end, the region Z12 corresponds to the upper right end, the region Z13 corresponds to the lower left end, and the region Z14 corresponds to the lower right end.

  It is assumed that, for example, all the characters included in the evaluation character string “Nissho” corresponding to the region Z12 have been recognized by the image quality evaluation process illustrated in FIG. 4B. For example, the character recognition assisting apparatus 10 specifies a partial area in which character recognition of all characters included in the evaluation character string has been performed from the coordinate information of the partial area stored in the process of S14 of FIG. 4B. Then, the character recognition support device 10 superimposes a guide frame such as a marker indicating that the photographing position of the form is fixed by superimposing the captured image of the form being photographed on the partial area where the character recognition is performed. indicate.

  In the display example of FIG. 4D, for example, the marker G12 is a guide frame that emphasizes two edges surrounding a corner position of a form corresponding to a partial area where character recognition has been performed on a captured image being shot. For example, the character recognition assisting apparatus 10 displays a marker G12 as a guide frame for two edges surrounding the corner positions of the form corresponding to the partial area where the character recognition is performed on the captured image of the form being photographed. For example, since the region Z12 corresponds to the upper right corner, the marker G12 indicating that the shooting position of the form is fixed is superimposed on the upper and right edges surrounding the upper right corner of the form being shot. Displayed.

  When the marker G12 indicating that the form shooting position is fixed is displayed, a marker indicating that the form shooting position is not fixed is displayed on the two edges surrounding the other corner positions. Good. For example, in the display example of FIG. 4D, markers G11, G13, and G14 having a display form different from the marker G12 are superimposed as guide frames on two edges that surround other corner positions where the photographing position of the form is not fixed. It is displayed.

  In the display example of FIG. 4D, for example, the display form of the marker G12 is displayed as a solid line superimposed on two edges surrounding the corner position, whereas the display forms of the other markers G11, G13, and G14 are It is displayed as a broken line superimposed on two edges surrounding the position. The marker G11 is displayed so as to be superimposed on the upper edge and the left edge surrounding the upper left corner of the form being photographed. Similarly, the marker G13 is displayed so as to be superimposed on the lower side edge and the left side edge surrounding the corner of the lower left end of the form being shot. The marker G14 is displayed so as to be superimposed on the lower edge and the right edge surrounding the corner of the lower right corner of the form being photographed.

  As illustrated in FIG. 4D, the character recognition support device 10 presents a partial area that is partially character-recognized with respect to the form image being photographed, such as a camera for positioning with respect to the form being photographed. It is possible to assist in tilting and moving. A user (user) of the character recognition support apparatus 10 refers to, for example, the marker G12 for the monitor image of the form being photographed displayed on the display screen of the LCD 15a or the like, and uses the partial area where the photographing position is fixed as a reference. The positioning operation can be performed as follows.

  The flowchart illustrated in FIG. 4C is a processing example in the case of performing an image quality evaluation process on a captured image that is being captured using an evaluation value that indicates the degree of matching of character recognition with respect to characters included in the evaluation character string. In the flowchart illustrated in FIG. 4C, in the processing of S11, S12, and S15, for example, the processing of the same number as in the flowchart illustrated in FIG. 4B is performed.

  In the flowchart illustrated in FIG. 4C, in the process of S <b> 16, the character recognition support device 10 performs, for example, character recognition for a partial region of the captured image being processed, and for each character for the true character of the evaluation character string. Obtain an evaluation value. In the process of S16, for example, a plurality of character candidates for the true character of the evaluation character string are obtained together with an evaluation value indicating the degree of coincidence with the true character.

  Here, the evaluation value of the character candidate for the true character can be expressed by, for example, the degree of matching in the range of “0-100”. And the character recognition assistance apparatus 10 calculates the certainty factor demonstrated by Numerical formula (1) about the several character candidate with respect to the true character contained in the character string for evaluation, for example. The certainty factor is obtained for each character included in the evaluation character string, for example.

  In the process of S17, the character recognition assistance apparatus 10 determines whether the certainty factor for every character calculated | required by the process of S16 is more than the preset threshold value Th, for example. For example, the character recognition assisting apparatus 10 has all the certainty factors for the characters included in the evaluation character strings in advance for all partial areas corresponding to the description areas of the three or more corners registered in the evaluation character string DB 201. It is determined whether the set threshold value is equal to or greater than Th.

  For example, when the certainty factor of all the characters included in the evaluation character string in each partial region corresponding to the description region at three or more corners of the form is equal to or greater than the threshold value Th (S17) , “Y”), the process proceeds to S15. On the other hand, the character recognition support apparatus 10, for example, when the certainty factor of all the characters included in the evaluation character string in each partial area corresponding to the description area at three or more corners of the form is not equal to or greater than the threshold value Th ( S17, “N”), the image quality evaluation process being processed is terminated.

  In the process of S17, for example, a case is assumed in which the certainty factor of all characters included in one or two partial areas out of three or more partial areas is greater than or equal to a threshold value Th. In this case, for example, the character recognition assisting apparatus 10 may temporarily store the coordinate information of the corresponding part in a predetermined area of the main storage unit 12 and end the image quality evaluation process being processed. For example, the character recognition assisting apparatus 10 may display the form image being captured on the basis of the coordinate information of the corresponding part as shown in FIG. 4D for the partial area having the certainty factor equal to or greater than the threshold value Th. It is possible to present a partial area where character recognition has been performed by superimposing it on the display screen.

  As described above, in the character recognition support device 10 of the present embodiment, the evaluation character string registered in the evaluation character string DB 201 and the captured image of the form being photographed received via the camera 14a and the like Image quality evaluation can be performed based on the coordinate information in the image area. The image quality evaluation can be performed on partial areas at three or more corners in the image area of the form being photographed. The image quality evaluation is performed based on whether or not characters / character strings registered as evaluation character strings can be recognized in partial areas at three or more corners of the form being photographed. For this reason, the character recognition support device 10 performs, for example, proper positioning in the image area with respect to the form being photographed by performing image quality evaluation on the partial areas of three or more corners in the image area of the form being photographed. It is also possible to determine whether or not the characters in the captured image form can be recognized correctly. The character recognition assisting apparatus 10 according to the present embodiment can determine in advance whether a recognition target image capable of correctly recognizing characters can be taken with respect to a captured image being captured before the image is determined.

<Example 2>
The character recognition support device according to the second embodiment (hereinafter referred to as a character recognition device according to the present embodiment) supports positioning of a form being photographed based on, for example, a result of character recognition by an image quality evaluation unit. In the character recognition support apparatus according to the second embodiment, for example, character recognition is performed on at least two partial areas among the three partial areas in the image area corresponding to the evaluation character string of the form being photographed. As a condition, positioning support for the form being photographed is provided.

For example, the character recognition support apparatus according to the second embodiment estimates the state of a form being photographed from at least two partial areas where character recognition has been performed. Then, the character recognition support device, for example, supports positioning for translational movement, rotational movement, forward / backward movement in the depth direction, distortion correction, and the like with respect to the captured image in the image area based on the estimated state of the form being shot. I do. The positioning support for the form being photographed by the character recognition support apparatus is displayed as a guide frame such as a marker superimposed on the captured image being photographed, for example. The character recognition support apparatus according to the present embodiment can instruct the captured image being photographed to be moved to a photographing position where characters can be correctly recognized before the image is determined.

[Process block configuration]
FIG. 5 illustrates an example of a hardware configuration of the character recognition support apparatus of this embodiment. The character recognition support device 20 of the present embodiment has the same hardware configuration as the character recognition support device 10 of the first embodiment. However, as illustrated in FIG. 5, in the character recognition support device 20, as the processing means executed by the CPU 11, the processing means of the image quality evaluation unit 210, the form state estimation unit 211, the state display unit 212, and the detection data processing unit 213. Have The detection data processing unit 213 is a processing unit corresponding to the detection data processing unit 102 illustrated in FIG.

[Image quality evaluation process]
The image quality evaluation unit 210, for example, in an image area that includes a captured image (image data) of a form being shot based on coordinate information associated with an evaluation character string registered in the evaluation character string DB 201. “Evaluation area” is set to support positioning at three or more corners. Then, the image quality evaluation unit 210 performs character recognition for, for example, two or more set “evaluation areas”, and performs image quality evaluation to determine whether the image quality can be correctly recognized in the form. For example, the image quality evaluation unit 210 determines that character recognition of the evaluation character string has been performed in at least two “evaluation areas” and performs image quality evaluation on the captured image of the form being captured.

  The evaluation area in the image area is, for example, based on the coordinate information of “sx”, “sy”, “ex”, and “ey” of the evaluation character string registered in the evaluation character string DB 201 as follows. It can set so that the relationship of Numerical formula (2) and (3) may be satisfy | filled. Note that (sx ′, sy ′) in Expression (2) represents the coordinate position of the upper left pixel in the evaluation area, and (ex ′, ey ′) in Expression (3) represents the lower right pixel in the evaluation area. Represents the coordinate position.

(Sx ′, sy ′) = (2sx−ex, 2sy−ey) (2)
(Ex ′, ey ′) = (2ex−sx, 2ey−sy) (3)
In the evaluation area in which the coordinate positions of the upper left pixel and the lower right pixel are obtained by the mathematical formulas (2) and (3), for example, the area range to be subjected to character recognition of the evaluation character string is registered coordinate information. On the other hand, it will be expanded 9 times. The image quality evaluation unit 210 performs character recognition for each character included in the evaluation character string, for example, for an evaluation area whose area range is expanded in the image area being shot, and captures the form being shot. Perform image quality evaluation on images. The result of the image quality evaluation of the captured image being shot by the image quality evaluation unit 210 is delivered to the form state estimation unit 211, for example.

  It should be noted that, for example, an evaluation character string that is skewed in the left-right direction and the up-down direction and is distorted is detected as a character string to be character-recognized in the evaluation area with the expanded area range. In a character string that is skewed in the left-right direction and the vertical direction and is distorted, it can be assumed that a plurality of character candidates are obtained for a true character registered as an evaluation character string. Therefore, the image quality evaluation unit 210 appropriately supports the positioning of the form. For example, as described in the first embodiment, the image quality evaluation unit 210 uses the certainty factor for each character calculated by Expression (1) to determine the evaluation area. Character recognition may be performed. In the image quality evaluation unit 210 of the character recognition support device 20 of the present embodiment, character recognition of the evaluation area is performed using the certainty factor for each character, for example, character recognition for characters included in the evaluation character string. Can improve the reliability.

[Form status estimation process]
For example, the form state estimation unit 211 estimates the state of the form being shot based on the image quality determination result of the image quality evaluation unit 210, and positions the image in the image area with respect to the captured image being shot. Flag information is added. In the character recognition support device 20 of the present embodiment, for example, based on the flag information given by the form state estimation unit 211, positioning support for a captured image being shot is performed.

  For example, when the character recognition is performed on the evaluation areas at the two corners of the captured image being captured, the form state estimation unit 211 uses the coordinate information of the evaluation areas at the two corners where the character recognition has been performed. Based on this, it is determined whether or not the captured image needs to be translated, rotated, and moved back and forth in the depth direction.

  For example, when the coordinate position in the image area of the captured image being photographed requires translational movement with respect to the appropriate photographing position, the form state estimation unit 211 performs a 3-bit bit on the captured image being processed. Flag information identified by a value is given as a “translation flag”. Further, for example, when the form state estimation unit 211 requires rotational movement with respect to an appropriate photographing position and forward / backward movement in the depth direction, a flag identified by a 2-bit bit value for the captured image being processed. Information is given as “rotation flag” and “front and back flag”.

  In addition, for example, when the character recognition is performed on the three corner evaluation areas for the captured image being shot, the form state estimation unit 211 coordinates the three corner evaluation areas on which the character recognition has been performed. Based on the information, it is determined whether or not it is necessary to move the captured image within the image area with respect to the appropriate position.

  When character recognition is performed for the evaluation areas at the three corners, the form state estimation unit 211, for example, in addition to translational movement, rotational movement, and forward / backward movement in the depth direction with respect to the appropriate position of the captured image in the image area. The necessity of distortion correction is determined. Whether or not distortion correction is necessary is determined by, for example, the distance between the evaluation character strings detected in the evaluation areas arranged in the vertical direction or the horizontal direction, and between the evaluation character strings registered in the evaluation character string DB 201. This is done by comparison with distance.

  For example, when the coordinate position in the image area of the captured image being shot requires translational movement, rotational movement, and back-and-forth movement in the depth direction with respect to the appropriate shooting position, the form state estimation unit 211 performs each movement. The above-described flag information is added to various flags representing types. Further, for example, when the distortion correction is required, the form state estimation unit 211 assigns flag information identified by a 3-bit bit value as a “distortion flag”. Various flag information given by the form state estimation unit 211 is delivered to the state display unit 212, for example.

  In the form state estimation unit 211, the photographing state of the form is estimated by, for example, comparing the centroid coordinates of the character string recognized in each evaluation area and the centroid coordinates of the evaluation character string corresponding to each evaluation area. Is done. For example, the evaluation character string registered in the evaluation character string DB 201 is described in the areas A11, A12, and A13 at the three corners of the form such as “name”, “Nissei”, and “number” illustrated in FIG. 1B and the like. Assume a string. In the following description, the evaluation character string “name” is also referred to as “evaluation character string 1”, “Nissei” is also referred to as “evaluation character string 2”, and “number” is also referred to as “evaluation character string 3”.

  The form state estimation unit 211, for example, from the coordinate information (sx, sy, ex, ey) in the image area for each character stored in each record of the evaluation character string registered in the evaluation character string DB 201, The barycentric coordinates of the evaluation character string are calculated. Note that the center-of-gravity coordinates of the evaluation character string can be expressed as, for example, the center-of-gravity coordinates of a circumscribed rectangle surrounding the evaluation character string.

FIG. 6A illustrates an explanatory diagram for calculating the barycentric coordinates for the evaluation character string. In the explanatory diagram illustrated in FIG. 6A, the evaluation character string is “name”, and characters (words) such as “name (“ character 1 ”in FIG. 6A)” and “name (“ character 2 ”in FIG. 6A)”. In addition, the circumscribed rectangle that encloses each of "Mr." and "Name" in the evaluation string is represented by a solid line,
A circumscribed rectangle of the evaluation character string such as “name” is represented by a broken line.

  The upper left pixel position in the image area of each character included in the evaluation character string is represented by coordinates (sx, sy). Similarly, the lower right pixel position is represented by coordinates (ex, ey). Each coordinate position for each character is stored in, for example, the “sx”, “sy”, “ex”, and “ey” columns of the record of the evaluation character string DB 201 as illustrated in FIG.

The form state estimation unit 211 refers to, for example, the evaluation character string DB 201 and calculates the center-of-gravity coordinates of the circumscribed rectangle that surrounds the evaluation character string, based on the following formulas (4) and (5). The barycentric coordinates of the evaluation character string 1 are (Xchar1, Ychar1), and the barycentric coordinates of the evaluation character string 2 are (Xchar2
, Ychar2), and the barycentric coordinates of the evaluation character string 3 are (Xchar3, Ychar3).

Xchar = (min (sx of each character of evaluation character string) + max (each character of evaluation character string
Ex)) Equation (4)
Ychar = (min (sy of each character in evaluation character string) + max (each character in evaluation character string)
Ey)) Equation (5)
The form state estimation unit 211 calculates the barycentric coordinates (Xchar1, Ychar1), (Xchar2,...) For the evaluation character strings at three or more corners registered in the evaluation character string DB 201 based on the mathematical expressions (4) and (5). Ychar2) and (Xchar3, Ychar3) are calculated. The calculated barycentric coordinates (Xchar1, Ychar1), (Xchar2, Ychar2), (Xchar3) of the evaluation character strings at three or more corners in the image area
, Ychar3) is temporarily stored in a predetermined area of the main storage unit 12, for example.

  The character recognition assisting device 20 calculates the barycentric coordinates for each evaluation character string in advance based on the coordinates of the pixel position of each evaluation character string registered in the evaluation character string DB 201, and the calculated barycentric coordinates are used as the calculated barycentric coordinates. It may be registered in the evaluation character string DB 201 in association with the evaluation character string.

Further, the form state estimation unit 211, for example, “character string 1”, “character string 2” recognized from the partial image in the evaluation area set by the image quality evaluation unit 210 for the captured image of the form being photographed, The barycentric coordinates of “character string 3” are calculated in the same manner. “Character string 1” corresponds to the character string recognized from the partial image in the evaluation area corresponding to the evaluation character string 1, and “Character string 2” corresponds to the evaluation area corresponding to the evaluation character string 2. Corresponds to the character string recognized from the partial image. Similarly, “character string 3” corresponds to the character string recognized from the partial image in the evaluation area corresponding to the evaluation character string 3. The calculated barycentric coordinates of “character string 1” are (X′char1, Y′char1), the barycentric coordinates of “character string 2” are (X′char2, Y′char2), and the barycentric coordinates of “character string 3” are (X'char3
, Y′char3).

The form state estimation unit 211 specifies, for example, the upper left pixel position and the lower right pixel position for each character included in the “character string 1” recognized from the partial image in the evaluation area corresponding to the evaluation character string 1. Then, for example, the form state estimation unit 211 calculates the center-of-gravity coordinate “X′char1” of “character string 1” from the horizontal coordinates of the upper-left pixel position and the lower-right pixel position for each specified character, using Equation (4). Calculated by

Further, the form state estimation unit 211 calculates, for example, “Y′char1” of the center-of-gravity coordinates of “character string 1” from the vertical coordinates of the upper left pixel position and lower right pixel position for each specified character. Calculated by The form state estimation unit 211 similarly obtains the barycentric coordinates for “character string 2” and “character string 3”, and the barycentric coordinates (X′char1, Y′char1), (X′char2) of the obtained character strings. ,
Y′char2) and (X′char3, Y′char3) are temporarily stored in a predetermined area of the main storage unit 12, for example.

For example, the form state estimation unit 211 translates, rotates, and moves in the depth direction based on the centroid coordinates calculated for each evaluation character string and the centroid coordinates calculated for each character string of the partial image in the evaluation area. It is determined whether or not to move back and forth and to correct distortion.

  For example, the form state estimation unit 211 evaluates two or more corners of the evaluation character strings based on the barycentric coordinates calculated for each of the evaluation character strings with respect to the two or more corners of the evaluation character string DB 201. Calculate the overall barycentric coordinates.

  FIG. 6B illustrates an explanatory diagram of the overall barycentric coordinates for the evaluation character strings at the three corners. In the explanatory diagram illustrated in FIG. 6B, a circled area Z11a represents the barycentric coordinates (Xchar1, Ychar1) of the evaluation character string 1 at the upper left corner. Similarly, the circled hatched areas Z12a and Z13a represent the barycentric coordinates (Xchar2, Ychar2) of the evaluation character string 2 and the barycentric coordinates (Xchar3, Ychar3) of the evaluation character string 3, respectively. Further, the overall center-of-gravity coordinates G1 calculated from the center-of-gravity coordinates of the evaluation character strings at the three corners are represented by, for example, (Xgrav, Ygrav).

  For example, the form state estimation unit 211 calculates (Xgrav, Ygrav) of the overall barycentric coordinates G1 for the evaluation character strings at two or more corners based on the following formulas (6) and (7).

Xgrav = (1 / n) × ΣXcharn ′ Equation (6)
n '
Ygrav = (1 / n) × ΣYcharn ′ (7)
n '
In Equations (6) and (7), “n” represents the number of evaluation areas recognized by the image quality evaluation unit 210, and “n ′” corresponds to the evaluation area recognized for characters. Indicates the identification number of the “evaluation character string” attached.

  For example, in the image quality evaluation unit 210, when the number of character recognition-recognized evaluation regions is “2”, “n = 2”, and the character string for evaluation corresponding to the character-recognized evaluation region is “ In the case of “evaluation character string 1” and “evaluation character string 3”, “n ′ = 1, 3”. The form state estimation unit 211, for example, the entire evaluation character strings 1 and 3 based on the mathematical formulas (6) and (7) from the barycentric coordinates of the evaluation character strings 1 and 3 corresponding to the character-recognized evaluation area. A central barycentric coordinate G1 is calculated.

  Similarly, the form state estimation unit 211, for example, the overall barycentric coordinates (X′grav, Y′grav) for the “character string” in the evaluation area at two or more corners recognized by the image quality evaluation unit 210. Is calculated. The overall barycentric coordinates (X′grav, Y′grav) for the “character string” in the evaluation area at two or more corners recognized by the image quality evaluation unit 210 are, for example, the following formulas (6a) and (7a): ).

X′grav = (1 / n) × ΣX′charn ′ (Equation 6a)
n '
Y′grav = (1 / n) × ΣY′charn ′ (Equation 7a)
n '
The form state estimation unit 211, for example, centroid coordinates (Xgrav, Ygrav) calculated from the formulas (6) and (7) and centroid coordinates (X′grav, Y calculated from the formulas (6a) and (7a). The coordinate position is compared with 'grav), and it is determined whether various movements and distortion correction are necessary. The result of the determination is reflected, for example, as flag information of various flags added to the captured image being processed and indicating whether various movements and distortion correction are necessary. In the various flags, “0” is set as flag information when it is determined that the various movements and distortion correction are “NO”. On the other hand, when it is determined that various movements and distortion corrections are “necessary”, flag information identified by a 2-3-bit bit value excluding “0” is added as flag information.

  For example, when the character recognition is performed on the evaluation areas at the two corners of the captured image being shot, the form state estimation unit 211 performs the translation movement, the rotation movement, and the front-back movement in the depth direction. The necessity of various movements is determined. When it is determined that the translational movement is “necessary”, the determination of the rotational movement and the forward / backward movement in the depth direction is not performed. Similarly, when the rotational movement is determined as “necessary”, the determination of the forward / backward movement in the depth direction is not performed.

  In addition, for example, when the character recognition is performed on the evaluation areas at the three corners of the captured image being shot, the form state estimation unit 211 translates, rotates, moves back and forth in the depth direction, and corrects distortion. The necessity of various movements and distortion correction is determined in this order. When the translational movement is determined as “necessary”, the determination of rotational movement, forward / backward movement in the depth direction, and distortion correction is not performed. Similarly, when the rotational movement is determined to be “necessary”, the determination of the forward / backward movement in the depth direction and the distortion correction are not performed. The form state estimation unit 211 determines whether or not distortion correction is necessary, for example, when it is determined “No” for translational movement, rotational movement, and forward / backward movement in the depth direction.

(Translation)
The form state estimation unit 211, for example, centroid coordinates (Xgrav, Ygrav) calculated from the formulas (6) and (7) and centroid coordinates (X′grav, Y calculated from the formulas (6a) and (7a). It is determined that the positional relationship with 'grav) is within a predetermined range. For example, the range width in the left-right direction in the image area is set as a threshold value Thx, and the range width in the vertical direction is set as a threshold value Thy. Note that the threshold values representing the horizontal range width and vertical range width in the image area depend on the performance such as the pixel density of the character recognition support apparatus 20, the size of the characters described in the form to be processed, etc. Can be set arbitrarily.

  For example, the form state estimation unit 211 determines whether or not the positional relationship between the center-of-gravity coordinates in the horizontal direction and the vertical direction satisfies the positional relationship of Expressions (8) and (9) shown below.

(Xgrav−Thx) <X′grav <(Xgrav + Thx) (8)
(Ygrav−Thy) <Y′grav <(Ygrav + Thy) (9)
For example, the form state estimation unit 211 sets flag information of “0” in the “translation flag” when the positional relationship between the center-of-gravity coordinates in the horizontal and vertical directions satisfies Expressions (8) and (9). . On the other hand, for example, when the positional relationship between the center of gravity coordinates in the horizontal direction and the vertical direction does not satisfy Expressions (8) and (9), the form state estimation unit 211 determines “translation flag” according to each state. The flag information “1”-“4” is set in The form state estimation unit 211 temporarily stores, for example, flag information set in the “translation flag” in a predetermined area of the main storage unit 12. The flag information set in the “translation flag” is delivered to the status display unit 212, for example.

(Rotation movement)
The form state estimation unit 211 determines whether or not the rotational movement is necessary, for example, when the translational movement is determined as “No”. In the determination of the rotational movement, for example, it is determined whether or not the camera 14a included in the character recognition assisting device 20 needs to rotate with respect to the optical axis direction. In the determination of the rotational movement, for example, the rotational movement direction (clockwise or counterclockwise) with respect to the captured image of the form being photographed is determined.

FIG. 6C illustrates an explanatory diagram of angles with respect to the centroid positions of the evaluation character strings at the three corners with the centroid positions calculated by Expressions (6) and (7) as the center. In the explanatory diagram illustrated in FIG. 6C, a circled hatching area Z11a represents the barycentric coordinates (Xchar1, Ychar1) of the evaluation character string 1 at the upper left corner. Similarly, the circled hatched areas Z12a and Z13a represent the barycentric coordinates (Xchar2, Ychar2) of the evaluation character string 2 and the barycentric coordinates (Xchar3, Ychar3) of the evaluation character string 3, respectively. Further, the overall center-of-gravity coordinates G1 calculated by the mathematical formulas (6) and (7) from the center-of-gravity coordinates of the evaluation character strings at the three corners are represented by, for example, (Xgrav, Ygrav). The reference line L1 is, for example, a reference line that passes through the barycentric coordinates G1 and is parallel to the horizontal edge of the image area of the character recognition support device 20.

6C, θchar3 represents an angle between the reference line L1 and the centroid coordinate (Xchar3, Ychar3) direction of the evaluation character string 3 in the clockwise direction around the centroid coordinate G1. Similarly, θchar2 represents the angle between the reference line L1 and the barycentric coordinate (Xchar2, Ychar2) direction of the evaluation character string 2 in the clockwise direction around the barycentric coordinate G1. θchar1 is the centroid coordinate G
The angle between the reference line L1 and the barycentric coordinate (Xchar1, Ychar1) direction of the evaluation character string 1 is represented in a clockwise direction around 1. The relationship between the angle of the reference line L1 and the direction of the center of gravity of each evaluation character string is θchar3 <θchar2 <θchar1.

The form state estimation unit 211 calculates θchar1 from the barycentric coordinates (Xgrav, Ygrav) and the barycentric coordinates (Xchar1, Ychar1) of the evaluation character string 1 using, for example, a relational expression of a trigonometric function. Similarly, the form state estimation unit 211 calculates θchar2 from the centroid coordinates (Xgrav, Ygrav) and the centroid coordinates (Xchar2, Ychar2) of the evaluation character string 2, and the centroid coordinates (Xgrav, Ygrav) and the centroid coordinates of the evaluation character string 3 Θchar3 is calculated from (Xchar3, Ychar3).

Similarly, the form state estimation unit 211, for example, the overall barycentric coordinates (X′grav, Y′grav) for the “character string” in the evaluation areas at the three corners recognized by the character and the “character string”. The angle for each “character string” is calculated from the barycentric coordinates for each. The form state estimation unit 211 uses, for example, a trigonometric relational expression to calculate the centroid coordinates (X′grav, Y′grav) and the centroid coordinates (X′char1) of “character string 1”.
, Y′char1), θ′char1 is calculated. Similarly, the form state estimation unit 211 calculates θ′char2 from the barycentric coordinates (X′grav, Y′grav) and the barycentric coordinates (X′char2, Y′char2) of “character string 2”, and the barycentric coordinates (X Θ′char3 is calculated from “grav, Y′grav) and the barycentric coordinates (X′char3, Y′char3) of“ character string 3 ”.

Then, the form state estimation unit 211, for example, the angle (θchar1, θchar2, θchar3) of each evaluation character string and the angle (θ′char1, θ′char2) of each “character string” recognized in the evaluation area.
, Θ′char3) is determined to be within a predetermined range. For example, the range width is set to a threshold value: Thθ. The threshold value: Thθ can be arbitrarily set according to the performance such as the pixel density of the character recognition support device 20 and the size of the character described in the form to be processed.

For example, the form state estimation unit 211 may determine the angle (θchar1, θchar2, θchar3) of each evaluation character string.
) And the angle (θ′char1, θ′char2, θ′char3) of each “character string”, it is determined whether or not the relationship of the following formula (10) is satisfied.

(Θchar1 + θchar2 + θchar3-Thθ) <(θ'char1 + θ'char2 + θ'char3) <
(Θchar1 + θchar2 + θchar3 + Thθ) (10)
For example, the form state estimation unit 211 may determine the angle (θchar1, θchar2, θchar3) of each evaluation character string.
) And the angle (θ′char1, θ′char2, θ′char3) of each “character string” is expressed by the formula (10
), The flag information of “0” is set in the “rotation flag”. On the other hand, for example, when the relationship between the angle of each evaluation character string and the angle of each “character string” does not satisfy the formula (10), the form state estimation unit 211 selects “rotation flag” according to each state. "1"-"2" flag information is set in "." For example, the form state estimation unit 211 temporarily stores the flag information set in the “rotation flag” in a predetermined area of the main storage unit 12. The flag information set in the “rotation flag” is delivered to the status display unit 212, for example.

Equation (10) is a relational expression when character recognition of each “character string” is performed in the evaluation areas at the three corners. For example, when the character recognition of each “character string” is performed in the evaluation areas at the two corners, the form state estimation unit 211 determines whether the rotational movement is necessary or not according to the following formula (10a). May be determined. Equation (10a) is an example of a relationship when character recognition of “character string 1” and “character string 2” is performed.

(Θchar1 + θchar2-Thθ) <(θ′char1 + θ′char2) <
(Θchar1 + θchar2 + Thθ) ... Formula (10a)
When the other character recognition of “character string 1” and “character string 3”, “character string 2” and “character string 3” is performed, the identification number of “θchar” in the equation (10a) is What is necessary is just to change to the identification number of the recognized "character string". In the form state estimation unit 211, for example, the relationship between the angle of each “character string” for which character recognition has been performed and the angle of the “evaluation character string” corresponding to each “character string” satisfies Expression (10a). In this case, “0” flag information is set in the “rotation flag”. On the other hand, for example, the form state estimation unit 211 determines that the relationship between the angle of each “character string” and the angle of the “evaluation character string” corresponding to each “character string” does not satisfy Expression (10a). The flag information “1”-“2” is set in the “rotation flag” according to each state. In the case of the two corners as well, as in the case of the three corners, the flag information set in the “rotation flag” is delivered to the state display unit 212, for example.

(Move back and forth in the depth direction)
For example, the form state estimation unit 211 determines whether or not it is necessary to move back and forth in the depth direction when it is determined that the translational movement and the rotational movement are “No”. In the determination of the forward / backward movement in the depth direction, for example, it is determined whether or not the forward / backward movement in the depth direction between the camera 14a included in the character recognition support device 20 and the form is necessary. In the determination of the back-and-forth movement, for example, the direction of the back-and-forth movement in the depth direction with respect to the captured image being shot is determined.

In the explanatory diagram of FIG. 6C, for example, the distance between the centroid coordinates (Xgrav, Ygrav) and the centroid coordinates (Xchar1, Ychar1), (Xchar2, Ychar2), (Xchar3, Ychar3) of each evaluation character string at the three corners is Let them be “Dchar1”, “Dchar2”, and “Dchar3”, respectively. Similarly, the barycentric coordinates (X'grav, Y'grav) for the "character string" at the three corners recognized in the evaluation area, and the barycentric coordinates (X'char1, Y'char1) of each "character string" , (X′char2, Y′char2), and (X′char3, Y′char3) are distances “D′ char1”, “D′ char2”, and “D′ char3”, respectively.

  The form state estimation unit 211, for example, the distance (Dchar1, Dchar2, Dchar3) for each evaluation character string and the distance (D'char1, D'char2, D ') for each "character string" recognized in the evaluation area. It is determined that the relationship with char3) is within a predetermined range. For example, the range width is set to a threshold value: Thd. The threshold value: Thd can be arbitrarily set according to the performance such as the pixel density of the character recognition support device 20 and the size of the character described in the form to be processed.

  The form state estimation unit 211 has, for example, the relationship between the distance (Dchar1, Dchar2, Dchar3) for each evaluation character string and the distance (D'char1, D'char2, D'char3) for each "character string". It is determined whether or not the relationship of the following formula (11) is satisfied.

(Dchar1 + Dchar2 + Dchar3-Thd) <(D'char1 + D'char2 + D'char3) <
(Dchar1 + Dchar2 + Dchar3 + Thd) Equation (11)
For example, the form state estimation unit 211 has a relationship between a distance (Dchar1, Dchar2, Dchar3) for each evaluation character string and a distance (D'char1, D'char2, D'char3) for each "character string" expressed by a formula ( If the condition 11) is satisfied, the flag information “0” is set in the “previous and backward flag”. On the other hand, for example, when the relationship between the distance to each evaluation character string and the distance to each “character string” does not satisfy Expression (11), the form state estimation unit 211 determines whether the “front and back flag” corresponds to each state. "1"-"2" flag information is set in "." For example, the form state estimation unit 211 temporarily stores the flag information set in the “front and back flag” in a predetermined area of the main storage unit 12.
For example, the flag information set in the “before / after flag” is delivered to the state display unit 212.

  Equation (11) is a relational expression when character recognition of each “character string” is performed in the evaluation areas at the three corners. For example, when character recognition of each “character string” is performed in the evaluation areas at the two corners, the form state estimation unit 211 moves back and forth in the depth direction according to the relationship of the following formula (11a). What is necessary is just to determine the necessity. Equation (11a) is an example of a relationship when character recognition of “character string 1” and “character string 2” is performed.

(Dchar1 + Dchar2-Thd) <(D'char1 + D'char2) <
(Dchar1 + Dchar2 + Thd) Equation (11a)
When the other character recognition of “character string 1” and “character string 3”, “character string 2” and “character string 3” is performed, the identification number of “Dchar” in the formula (11a) is What is necessary is just to change to the identification number of the recognized "character string". In the form state estimation unit 211, for example, the relationship between the distance to each “character string” for which character recognition has been performed and the distance of the “evaluation character string” corresponding to each “character string” satisfies Expression (11a). In this case, “0” flag information is set in the “pre- and post-flag”. On the other hand, for example, the form state estimation unit 211 determines that the relationship between the distance to each “character string” and the distance of the “evaluation character string” corresponding to each “character string” does not satisfy Expression (11a). The flag information “1”-“2” is set in the “front / rear flag” according to each state. In the case of the two corners as well, as in the case of the three corners, the flag information set in the “front and back flags” is delivered to the state display unit 212, for example.

(Distortion correction)
For example, the form state estimation unit 211 determines that the necessity of translational movement, rotational movement, and back-and-forth movement in the depth direction is “No” in a state where character recognition has been performed on the evaluation areas at the three corners. It is determined whether or not distortion correction is necessary. In the determination of distortion correction, for example, it is determined whether or not distortion correction is necessary for the vertical or horizontal sides of the document being shot.

  In the explanatory diagram illustrated in FIG. 6C, for example, the distance between the barycentric coordinates of the evaluation character string 1 and the evaluation character string 2 parallel to the left and right sides of the form is “C12”. Further, the distance between the barycentric coordinates of the evaluation character string 1 and the evaluation character string 3 parallel to the vertical side of the form is defined as “C13”. Similarly, the distance between the barycentric coordinates of “character string 1” and “character string 2”, which are recognized in the evaluation area and parallel to the left and right sides of the form, is “C′12”. The distance between the center-of-gravity coordinates of “character string 1” and “character string 3” parallel to the vertical side is “C′13”.

  The form state estimation unit 211, for example, between the distance “C12” between the centroid coordinates of the evaluation character strings 1 and 2 parallel to the left and right sides of the form and the centroid coordinates of “character string 1” and “character string 2”. “C′12 / C12” which is a ratio with the distance “C′12” is obtained. Further, the form state estimation unit 211, for example, the distance “C13” between the centroid coordinates of the evaluation character strings 1 and 3 parallel to the vertical side of the form and the centroid coordinates of “character string 1” and “character string 3”. “C′13 / C13”, which is a ratio to the distance “C′13”, is obtained.

  The determination of whether or not distortion correction is necessary is, for example, the distance ratio (C′12 / C12) between the distance between evaluation character strings in the left-right direction of the form and the distance between “character strings”, and the evaluation character string in the up-down direction of the form. This is performed based on a distance ratio (C′13 / C13) between the distance between the characters and the distance between the “character strings”.

  For example, the form state estimation unit 211 obtains | 1- (C′12 / C12) | and | 1- (C′13 / C13) |, and | 1- (C′12 / C12) | The magnitude relationship with 1- (C′13 / C13) | is determined. Then, the form state estimation unit 211 determines the magnitude relation with a predetermined threshold value: Thc, for example, for the larger of | 1- (C′12 / C12) | or | 1- (C′13 / C13) | To do. The threshold value Thd can be arbitrarily set according to the performance such as the pixel density of the character recognition support device 20 and the size of the characters described in the form to be processed.

  For example, the form state estimation unit 211 has a relationship of the following formulas (12) and (13) with respect to the larger of | 1− (C′12 / C12) | or | 1− (C′13 / C13) | It is determined whether or not the above is satisfied.

-Thc <1- (C'12 / C12) <Thc ... Formula (12)
-Thc <1- (C'13 / C13) <Thc ... Formula (13)
For example, the form state estimation unit 211 satisfies the relationship of Expressions (12) and (13) for the larger of | 1− (C′12 / C12) | or | 1− (C′13 / C13) | The flag information of “0” is set in “distortion flag”. The form state estimation unit 211 also sets the “distortion flag” to “0” even when, for example, | 1- (C′12 / C12) | is equal to | 1- (C′13 / C13) |. Set flag information.

  On the other hand, the form state estimation unit 211 is, for example, a case of | 1- (C′12 / C12) |> | 1- (C′13 / C13) |, (1- (C′12 / C12)). Does not satisfy the relationship of Equation (12), flag information “1” − “2” is set in “distortion flag”. The form state estimation unit 211 is, for example, a case of | 1- (C′12 / C12) | <| 1- (C′13 / C13) |, (1- (C′13 / C13)). Does not satisfy the relationship of Equation (13), flag information “3”-“4” is set in “distortion flag”.

  The form state estimation unit 211 temporarily stores, for example, flag information set in the “distortion flag” in a predetermined area of the main storage unit 12. The flag information set in the “distortion flag” is delivered to the status display unit 212, for example.

[Status display processing]
The state display unit 212, for example, an appropriate shooting position for a captured image being shot based on various kinds of flag information for translation movement, rotation movement, forward / backward movement in the depth direction, and distortion correction delivered from the form state estimation unit 211 Positioning support is provided.

  For example, the state display unit 212 superimposes a rectangular guide frame or the like indicating an appropriate shooting position on the captured image being shot, and displays it on a display screen on which a monitor display such as the LCD 15a of the character recognition support device 20 is performed. For example, the state display unit 212 instructs the moving direction in the image area of the captured image of the form based on various flag information. For example, a display component such as an arrow indicating the movement direction or a marker can be used for the instruction of the movement direction in the image area with respect to the captured image. The state display unit 212 superimposes display parts such as a rectangular guide frame indicating an appropriate shooting position and an arrow indicating a movement direction in the image area of the captured image on the captured image being captured, for example. The data is displayed on a display screen such as the LCD 15a where the display is performed.

(Translation)
FIG. 6D illustrates an explanatory diagram of positioning support related to translational movement. The explanatory diagram of FIG. 6D is a display example when positioning assistance is performed so that the position of the captured image of the form in the image region is translated in the right direction. Assuming that the position of the form to be imaged is fixed, when the position of the captured image of the form in the image area translates to the right, the camera 14a of the character recognition support device 20 is relatively It will move to the left.

  In the explanatory diagram of FIG. 6D, a rectangular image area Z0 surrounded by the edges Z0a to Z0d represents an image area of the character recognition support device 20, and an area Z1 represents an image area of a captured image (image data) of a form being shot. Represent. A guide frame G15 indicated by a broken-line rectangle is a display component indicating an appropriate shooting position of the form being shot, and an arrow G16 with the arrowhead pointing to the right indicates the moving direction of the captured image in the image area. It is a display part to be used.

  In the explanatory diagram illustrated in FIG. 6D, the area Z1 of the captured image of the form being shot in the image area Z0 is relatively located on the left side. A guide frame 15G indicating an appropriate shooting position is superimposed on a part of the area Z1 of the captured image of the form being shot and is displayed relatively to the right. The right-pointing arrow G16 is displayed so as to be superimposed on a part of the region Z1 of the captured image of the form being captured so that the captured image of the form in the image region Z0 moves in the direction of the guide frame 15G.

  For example, when the form state estimation unit 211 determines that (Xgrav−Thx)> X′grav, the state display unit 212 displays the form in the image area Z0 as illustrated in the explanatory diagram of FIG. 6D. Positioning support is performed so that the position of the captured image (region Z1) translates in the right direction. When the form state estimation unit 211 determines that (Xgrav−Thx)> X′grav, for example, flag information “1” is set in the “translation flag”. For example, the state display unit 212 displays a guide frame 15G indicating an appropriate shooting position and a right-pointing arrow G16 on a part of a captured image (area Z1) of the form being shot, and displays the image in the image area Z0. An instruction is given to translate the position of the captured image of the form in the right direction.

  For example, when the form state estimation unit 211 determines that (Xgrav + Thx) <X′grav, the state display unit 212 determines that the position of the captured image (region Z1) of the form in the image region Z0 is in the left direction. Positioning support is performed so that it moves in translation. When the form state estimation unit 211 determines that (Xgrav + Thx) <X′grav, for example, flag information “2” is set in the “translation flag”. The state display unit 212 displays, for example, a guide frame 15G indicating an appropriate shooting position and a left-pointing arrow G16 superimposed on a part of the captured image (area Z1) of the form being shot, and within the image area Z0. An instruction is given to translate the position of the captured image of the form in the left direction.

  For example, when the form state estimation unit 211 determines that (Ygrav−Thy)> Y′grav, the state display unit 212 indicates that the position of the captured image (region Z1) of the form in the image region Z0 is downward. Positioning support is performed so that it moves in translation. When the form state estimation unit 211 determines that (Ygrav−Thy)> Y′grav, for example, flag information “3” is set in the “translation flag”. The state display unit 212 displays, for example, a guide frame 15G indicating an appropriate shooting position and a downward arrow G16 superimposed on a part of the captured image (area Z1) of the form being shot, and within the image area Z0. An instruction is given so that the position of the captured image of the form is translated downward.

  For example, when the form state estimation unit 211 determines that (Ygrav + Thy) <Y′grav, the state display unit 212 indicates that the position of the captured image (region Z1) of the form in the image region Z0 is upward. Positioning support is performed so that it moves in translation. When the form state estimation unit 211 determines that (Ygrav + Thy) <Y′grav, for example, flag information “4” is set in the “translation flag”. For example, the state display unit 212 displays a guide frame 15G indicating an appropriate shooting position and an upward arrow G16 on a part of the captured image (area Z1) of the form being shot, and displays the image in the image area Z0. An instruction is given so that the position of the captured image of the form is translated upward.

(Rotation movement)
FIG. 6E illustrates an explanatory diagram of positioning support related to rotational movement. The explanatory diagram of FIG. 6E provides positioning support so that the captured image of the form in the image area rotates clockwise around the overall barycentric coordinates (X′grav, Y′grav) with respect to the “character string”. It is an example of a display when performing. Assuming that the position of the form to be imaged is fixed, when the captured image of the form in the image area rotates clockwise, the camera 14a of the character recognition support device 20 is relatively counterclockwise. Will rotate.

  In the explanatory diagram of FIG. 6E, a rectangular image area Z0 surrounded by the edges Z0a to Z0d represents an image area of the character recognition support device 20, and an area Z1 represents an image area of a captured image (image data) of a form being shot. Represent. A guide frame G15 indicated by a broken-line rectangle is a display component indicating an appropriate shooting position of the form being shot, and a curved clockwise (clockwise) arrow G17 indicates the moving direction of the captured image in the image area. This is a display component to be instructed.

  In the explanatory diagram illustrated in FIG. 6E, the area Z1 of the captured image of the form being photographed in the image area Z0 is inclined obliquely upward to the right. The guide frame 15G indicating an appropriate shooting position is superimposed on a part of the area Z1 of the captured image of the form being shot, and the upper, lower, left, and right edges of the guide frame 15G are parallel to the edges Z0a to Z0d of the image area Z0. Is displayed. A curved clockwise (clockwise) arrow G17 indicates one of the areas Z1 of the captured image of the form being photographed so that the upper, lower, left and right edges of the captured image of the area Z1 are parallel to the upper, lower, left and right edges of the guide frame 15G. It is displayed superimposed on the part. A curved clockwise (clockwise) arrow G17 indicates that the area Z1 of the captured image of the form being captured is rotated clockwise around the center of gravity coordinates (X'grav, Y'grav) with respect to the "character string". It is displayed to move.

  For example, when the form state estimation unit 211 determines that (θchar1 + θchar2-Thθ)> (θ′char1 + θ′char2), the state display unit 212, as illustrated in FIG. 6E, forms in the image area Z0. The captured image area Z1 is supported so as to rotate clockwise. If the form state estimation unit 211 determines that (θchar1 + θchar2-Thθ)> (θ′char1 + θ′char2), for example, flag information “1” is set in the “rotation flag”.

  The state display unit 212 displays, for example, a guide frame 15G indicating an appropriate shooting position and a curved clockwise (clockwise) arrow G17 superimposed on a part of the captured image (area Z1) of the form being shot. To do. Then, for example, the state display unit 212 instructs the region Z1 of the captured image of the form being photographed to rotate clockwise around the barycentric coordinates (X′grav, Y′grav). For example, the state display unit 212 has upper, lower, left, and right edges of a captured image that is rotated clockwise around the center of gravity coordinates (X′grav, Y′grav) and inclined obliquely upward and downward of the guide frame 15G. Positioning support is performed so that it is parallel to the left and right edges.

  For example, when the form state estimation unit 211 determines that the state display unit 212 determines that (θchar1 + θchar2 + Thθ) <(θ′char1 + θ′char2), the state Z1 of the captured image of the form in the image region Z0 is reversed. Provide support to rotate clockwise. When the form state estimation unit 211 determines that (θchar1 + θchar2 + Thθ) <(θ′char1 + θ′char2), for example, “2” flag information is set in the “rotation flag”.

  For example, the state display unit 212 superimposes a guide frame 15G indicating an appropriate shooting position and a curved counterclockwise (counterclockwise) arrow G17 on a part of a captured image (area Z1) of a form being shot. indicate. Then, for example, the state display unit 212 instructs the region Z1 of the captured image of the form being photographed to rotate counterclockwise about the barycentric coordinates (X′grav, Y′grav). The state display unit 212 has, for example, the upper, lower, left, and right edges of the captured image that is rotated counterclockwise about the barycentric coordinates (X′grav, Y′grav) and inclined obliquely upward and leftward. Positioning support is performed so that it is parallel to the top, bottom, left, and right edges.

(Move back and forth in the depth direction)
FIG. 6F illustrates an explanatory diagram of positioning support related to the back-and-forth movement in the depth direction. The explanatory diagram of FIG. 6F is a display example when positioning assistance is performed so as to move in the form direction (moving in the depth direction) so that the size of the captured image of the form in the image area is enlarged. Assuming that the form position is fixed, in the case of moving in the form direction so that the size of the captured image of the form in the image area is enlarged, between the form and the camera 14a of the character recognition support device 20 It moves to the front of the depth direction so as to reduce the distance.

  In the explanatory diagram of FIG. 6F, a rectangular image area Z0 surrounded by the edges Z0a to Z0d represents an image area of the character recognition support device 20, and an area Z1 represents an image area of a captured image (image data) of a form being shot. Represent. A guide frame G15 indicated by a broken-line rectangle is a display component indicating an appropriate shooting position of the form being shot. A right-pointing arrow G18a toward the edge Z0b and a left-pointing arrow G18b toward the edge Z0d are a pair of display components that instruct enlargement / reduction of the captured image in the image area.

  In the explanatory diagram illustrated in FIG. 6F, the area Z1 of the captured image of the form being shot in the image area Z0 is positioned in a state where the area size is relatively reduced. A guide frame 15G indicating an appropriate shooting position is superimposed so as to surround the area Z1 of the captured image of the form being shot, and the upper, lower, left and right edges of the guide frame 15G are parallel to the edges Z0a-Z0d of the image area Z0. Is displayed. The right-pointing arrow G18a is displayed so as to be superimposed on the right end side of the area Z1 of the captured image of the form being captured so that the captured image of the area Z1 enlarges the area size toward the edge Z0b. Further, the left-pointing arrow G18b is superimposed and displayed on the left end side of the area Z1 of the captured image of the form being captured so that the captured image of the area Z1 expands the area size toward the edge Z0d. The right-pointing arrow G18a and the left-pointing arrow G18b are displayed as a pair in the left-right direction of the area Z1 of the captured image.

  For example, when the form state estimation unit 211 determines that (Dchar1 + Dchar2 + Dchar3−Thd)> (D′ char1 + D′ char2 + D′ char3), the state display unit 212 is in the image area Z0 as illustrated in FIG. 6F. The area Z1 of the captured image of the form is supported to be enlarged. If the form state estimation unit 211 determines that (Dchar1 + Dchar2 + Dchar3-Thd)> (D′ char1 + D′ char2 + D′ char3), for example, “1” flag information is set in the “front and back flag”.

  The state display unit 212 includes, for example, a guide frame 15G indicating an appropriate shooting position surrounding the captured image (region Z1) of the form being shot, a right arrow G18a that forms a pair in the left-right direction of the region Z1 of the captured image, and leftward The arrow G18b is superimposed and displayed. Then, for example, the state display unit 212 instructs the area Z1 of the captured image of the form being photographed to move in the direction of increasing the area size. For example, the state display unit 212 performs positioning support so that the area Z1 of the captured image of the form moved in the direction of enlarging the area size matches the guide frame G15.

In addition, the state display unit 212, for example, by the form state estimation unit 211, (D′ char1 + D
If it is determined that 'char2 + D'char3)> (Dchar1 + Dchar2 + Dchar3 + Thd), assistance is provided to reduce the area Z1 of the captured image of the form in the image area Z0. When the form state estimation unit 211 determines that (D′ char1 + D′ char2 + D′ char3)> (Dchar1 + Dchar2 + Dchar3 + Thd), for example, “2” flag information is set in the “front and back flag”.

  The state display unit 212 displays, for example, a guide frame 15G indicating an appropriate shooting position superimposed on a captured image (area Z1) of a form being shot. In addition, the state display unit 212 displays, for example, a left arrow G18a and a right arrow G18b that are paired in the left-right direction of the region Z1 of the captured image in a superimposed manner. The left-pointing arrow G18a is displayed on the right end side of the captured image area Z1, and the right-pointing arrow G18b is displayed on the left end side of the captured image area Z1.

For example, the state display unit 212 is configured such that the distance between the form and the camera 14a of the character recognition support apparatus 20 is increased, and the area Z1 of the captured image of the form being captured is reduced in the area size (after the depth direction). Direction). For example, the state display unit 212 performs positioning support so that the region Z1 of the captured image of the form moved in the direction of reducing the region size matches the guide frame G15.

(Distortion correction)
FIG. 6G illustrates an explanatory diagram of positioning support related to distortion correction. The explanatory diagram of FIG. 6G is a display example when assisting distortion correction so that the size of the vertical edge on the left end side of the captured image of the form in the image area is reduced.

  In the explanatory diagram of FIG. 6G, a rectangular image area Z0 surrounded by the edges Z0a to Z0d represents an image area of the character recognition support device 20, and an area Z1 represents an image area of a captured image (image data) of a form being shot. Represent. A guide frame G15 indicated by a broken-line rectangle is a display component that indicates an appropriate shooting position of the form being shot. An arrow group G19 that is folded leftward in the shape of a circle is a display component that supports distortion correction of a captured image of a form in the image area Z0. In the example of FIG. 6G, the arrow group G19 includes three arrows G19a, G19b, and G19c that are folded in the leftward direction, and the display size of each arrow is from the arrow G19a on the right end side to the left end side. It expands in order toward the arrow G19c.

  In the explanatory diagram of FIG. 6G, the left and right edges of the captured image of the form being shot in the image area Z0 are displayed in parallel with the left and right edges of the guide frame G15. The vertical size of the left edge of the captured image of the form is displayed larger than the vertical size of the right edge. Further, the upper and lower edges of the captured image of the form are displayed in an inclined state with respect to the upper and lower edges of the guide frame G15. The upper and lower edges of the captured image of the form are displayed so as to be narrowed from the left end side to the right end side.

  For example, assuming that the form position at the time of shooting is fixed, in the example of FIG. 6G, the left side distance of the form and the camera 14a of the character recognition support apparatus 20 is relatively shorter than the right side distance. It can be seen that the image was taken while leaning toward the form side. For this reason, in the case of assisting distortion correction so that the size of the vertical edge on the left end side is reduced, the character recognition assisting device 20 approaches the left side of the form in a direction to increase the distance of the tilted camera 14a. , Will move.

  In the example of FIG. 6G, for example, by the form state estimation unit 211, | 1- (C′12 / C12) | <| 1- (C′13 / C13) | and −Thc> 1- (C′13 / C13), and flag information “3” is set in the “distortion flag”. The state display unit 212 is | 1- (C′12 / C12) | <| 1- (C′13 / C13) |, and when it is determined that −Thc> 1- (C′13 / C13). For example, the distortion correction is supported so that the size of the vertical edge on the left end side of the captured image of the form in the image area Z0 is reduced.

  The state display unit 212 displays, for example, a guide frame 15G indicating an appropriate shooting position superimposed on a captured image (area Z1) of a form being shot. Then, the state display unit 212 displays, for example, an arrow group G19 that is folded leftward in a superposed manner on the right edge of the captured image of the form.

  For example, the state display unit 212 moves the camera 14a of the character recognition support apparatus 20 that is tilted toward the left side of the form being photographed away from the left side of the captured image (area Z1) of the form being photographed. The distortion correction is instructed so that the size of the edge in the vertical direction is reduced. For example, the state display unit 212 performs positioning support so that the area Z1 of the captured image of the form moved in the direction in which the size of the vertical edge on the left end side is reduced matches the guide frame G15.

Next, for example, by the form state estimation unit 211, | 1- (C′12 / C12) | <| 1- (C
It is assumed that '13 / C13) | and it is determined that Thc <1- (C'13 / C13). If | 1- (C′12 / C12) | <| 1- (C′13 / C13) | and it is determined that Thc <1- (C′13 / C13), for example, “distortion flag "4" flag information is set in "."

  When the state display unit 212 determines that | 1− (C′12 / C12) | <| 1− (C′13 / C13) | and Thc <1− (C′13 / C13). For example, the distortion correction is supported so that the size of the vertical edge on the right end side of the captured image of the form in the image area Z0 is reduced.

  The state display unit 212 displays, for example, a guide frame 15G indicating an appropriate shooting position superimposed on a captured image (area Z1) of a form being shot. Then, the state display unit 212 displays, for example, an arrow group G19 folded in a right-handed shape in a superimposed manner on the left edge of the captured image of the form. The display size of each arrow included in the arrow group G19 is displayed so as to increase in order from the left end arrow G19a to the right end arrow G19c.

  For example, the state display unit 212 moves the camera 14a of the character recognition support apparatus 20 that has been tilted toward the right side of the form being photographed in a direction away from the right side of the captured image (area Z1) of the form being photographed. The distortion correction is instructed so that the size of the edge in the vertical direction is reduced. For example, the state display unit 212 performs positioning support so that the area Z1 of the captured image of the form moved in the direction in which the size of the vertical edge on the right end side is reduced matches the guide frame G15.

  Further, for example, the form state estimation unit 211 satisfies | 1- (C′12 / C12) |> | 1- (C′13 / C13) |, and −Thc> 1- (C′12 / C12). Assume that the case is determined. | 1- (C′12 / C12) |> | 1- (C′13 / C13) |, and when it is determined that −Thc> 1- (C′12 / C12), for example, “distortion” Flag information “1” is set in the “flag”.

  The state display unit 212 is | 1- (C′12 / C12) |> | 1- (C′13 / C13) |, and when it is determined that −Thc> 1- (C′12 / C12). For example, the distortion correction is supported so that the size of the edge in the left-right direction on the upper end side of the captured image of the form in the image area Z0 is reduced.

  The state display unit 212 displays, for example, a guide frame 15G indicating an appropriate shooting position superimposed on a captured image (area Z1) of a form being shot. Then, the state display unit 212 displays, for example, an arrow group G19 folded upward in a U-shape so as to be superimposed on the lower edge of the captured image of the form. The display size of each arrow included in the arrow group G19 is displayed so as to increase in order from the lowermost arrow G19a to the uppermost arrow G19c.

  The state display unit 212 moves, for example, the camera 14a of the character recognition support apparatus 20 that has been tilted toward the upper side of the form being photographed away from the upper side of the captured image (area Z1) of the form being photographed. The distortion correction is instructed so that the size of the edge in the left-right direction is reduced. For example, the state display unit 212 performs positioning support so that the area Z1 of the captured image of the form moved in the direction in which the size of the left and right edges on the upper end side matches the guide frame G15.

  Further, for example, the form state estimation unit 211 determines that | 1- (C′12 / C12) |> | 1- (C′13 / C13) | and Thc <1- (C′12 / C12). Assuming that | 1- (C′12 / C12) |> | 1- (C′13 / C13) |, and when it is determined that Thc <1- (C′12 / C12), for example, “distortion flag "2" flag information is set in "."

  When the state display unit 212 is | 1- (C′12 / C12) |> | 1- (C′13 / C13) | and it is determined that Thc <1- (C′12 / C12). For example, the distortion correction is supported so that the size of the edge in the left-right direction on the lower end side of the captured image of the form in the image area Z0 is reduced.

  The state display unit 212 displays, for example, a guide frame 15G indicating an appropriate shooting position superimposed on a captured image (area Z1) of a form being shot. Then, the state display unit 212 displays, for example, an arrow group G19 that is folded downward in a U-shape so as to be superimposed on the upper edge of the captured image of the form. The display size of each arrow included in the arrow group G19 is displayed so as to increase in order from the uppermost arrow G19a to the lowermost arrow G19c.

  For example, the state display unit 212 moves the camera 14a of the character recognition support apparatus 20 that has been inclined toward the lower side of the form being photographed in a direction away from the lower end of the captured image (area Z1) of the form being photographed. The distortion correction is instructed so that the size of the side edge in the left-right direction is reduced. For example, the state display unit 212 performs positioning support so that the area Z1 of the captured image of the form moved in the direction in which the size of the left and right edges on the lower end side matches the guide frame G15.

[Process flow]
Hereinafter, the character recognition process of the character recognition support device 20 of this embodiment will be described with reference to the flowcharts illustrated in FIGS. 7A-7H, 7J, and 8A-8E. FIG. 7A is an example of a flowchart showing the entire character recognition processing of the character recognition support device 20. In the flowchart illustrated in FIG. 7A, the start of the character recognition process can be exemplified by, for example, the time when a captured image of a form that is a target of the character recognition process is received.

  For example, the character recognition support recognition device 20 receives image data of a captured image being captured in a time series with a constant periodic interval of 10 ms via the camera 14a of the input unit 14 or the like. The received image data of the captured image being captured is temporarily stored in, for example, the buffer memory of the main storage unit 12 in chronological order. The image data of the captured image being captured stored in the buffer memory or the like is read in time series order, and is displayed on the display screen of the character recognition support apparatus 20 such as the LCD 15a, for example, to indicate the captured state of the form being captured. Is displayed. For example, the character recognition support device 20 performs the character recognition processing illustrated in FIG. 7A on the image data of the captured image that is being captured and read from the buffer memory or the like in chronological order.

  In the flowchart illustrated in FIG. 7A, for example, the character recognition support device 20 performs image quality evaluation processing on the image data of the captured image read out from the buffer memory or the like (S21). The image quality evaluation process is performed, for example, based on the evaluation character string data of the form being photographed registered in the evaluation character string DB 201. In the image quality evaluation process, for example, it is determined that the image data of the captured image in the image area is positioned at an appropriate position in at least two corners of the evaluation area. At the same time, for example, it is determined whether the image data of the captured image in the image area has sufficient image quality for recognizing characters based on whether or not character recognition is possible in at least two corners. The

  For example, the character recognition support apparatus 20 passes the determination result of the image quality evaluation process of S21 to the process of S22. The image quality evaluation process in S21 will be described with reference to FIG. 7B.

  For example, the character recognition support device 20 determines whether or not the image data of the captured image being processed has sufficient image quality for recognizing the characters in the form based on the determination result delivered from the image quality evaluation process in S21. Is determined (S22). The determination as to whether the image quality of the captured image being processed has sufficient image quality is performed based on, for example, flag information of an “image quality flag” added to the image data of the captured image being processed.

  For example, when the flag information of “1” is not added to the “image quality flag” of the captured image being processed (S22, “N”), the character recognition support device 20 skips the processing of S23 to S26. Then, the character recognition process for the captured image being processed ends. For example, the character recognition support device 20 continues the character recognition process on the image data of the next captured image read out from the buffer memory or the like in time series. The character recognition process illustrated in FIG. 7A is repeatedly executed until, for example, character recognition described in the form is performed.

  On the other hand, for example, when the flag information “1” is added to the “image quality flag” of the captured image being processed (S22, “Y”), the character recognition assisting apparatus 20 performs the form state estimation process in S23. Migrate to

  In the form state estimation process of S23, the character recognition support device 20 is processing based on the positional relationship between the “character string” and the “evaluation character string” that have been recognized in the evaluation areas at two or more corners, for example. Various movement determinations and distortion correction determinations are performed for positioning the form. Note that the distortion correction determination is performed, for example, when an “evaluation character string” is recognized in an evaluation area with three or more corners.

  For example, the character recognition assisting apparatus 20 temporarily stores the results of various movement determinations and distortion correction determinations in the form state estimation process in S23 as flag information in a predetermined area of the main storage unit 12, and performs the state display process in S24. hand over. The form state estimation process in S23 will be described with reference to FIGS. 7C-7H and 7J.

  In the state display process of S24, the character recognition support apparatus 20 is based on, for example, various flag information indicating the necessity of translational movement, rotational movement, forward / backward movement in the depth direction, and distortion correction determined in the form state estimation process of S23. Thus, support display to an appropriate shooting position for the captured image being processed is performed.

  The character recognition support device 20, for example, superimposes a rectangular guide frame or the like indicating an appropriate shooting position on the captured image being shot and displays it on a display screen on which a monitor display such as the LCD 15 a of the character recognition support device 20 is performed. . In addition, the character recognition support apparatus 20 superimposes a display component such as an arrow indicating the moving direction of the captured image in the image area corresponding to various flag information on the captured image being captured, and performs monitor display. It is displayed on a display screen such as the LCD 15a. The status display process in S24 will be described with reference to FIGS. 8A-8E.

  In the process of S25, the character recognition support apparatus 20 determines, for example, whether or not the shooting position of the captured image of the form being processed is positioned at an appropriate shooting position in the image area.

  The character recognition support device 20, for example, when the photographing position of the captured image of the form being processed is not positioned at an appropriate photographing position in the image area as a result of the form state estimation process in S23 (S25, “N”), the character recognition process for the captured image being processed ends. For example, the character recognition support device 20 continues the character recognition process on the image data of the next captured image read out from the buffer memory or the like in time series. The character recognition process illustrated in FIG. 7A is repeatedly executed until, for example, character recognition described in the form is performed.

  On the other hand, the character recognition assisting apparatus 20, for example, when the photographing position of the captured image of the form being processed is positioned at an appropriate photographing position in the image area as a result of the form state estimation process in S <b> 23. (S25, “Y”), the process proceeds to S26.

In the process of S <b> 26, for example, the character recognition support device 20 temporarily stores the image data of the captured image being processed in a predetermined area of the main storage unit 12. Then, for example, the character recognition support device 20 performs character recognition on the data area of the image area Z1 illustrated in FIG. 1B where the form is captured. Character recognition of the data area in the image area Z1 is performed by, for example, the detection data processing unit 213. The character recognition support device 20 outputs, for example, character information in a form detected by character recognition to the output unit 15 of the character recognition support device 20 as a detection data character string, and performs character recognition processing on the captured image being processed. finish.

  Here, the process of S21 executed by the character recognition support device 20 is an example of a step of receiving a captured image including a rectangular recognition target object that is a character recognition target. Further, the CPU 11 or the like of the character recognition support device 20 executes the process of S21 as an example of a unit that receives a captured image including a rectangular recognition target object that is a character recognition target.

  The process of S23 executed by the character recognition support device 20 performs character recognition on the partial image in the predetermined area, and the character string recognized in the predetermined area and the evaluation character in the recognition target object. It is an example of the step which determines the relationship with a column. Further, the CPU 11 or the like of the character recognition support device 20 performs character recognition on the partial image in the predetermined area, and the relationship between the character string recognized in the predetermined area and the evaluation character string in the recognition object. As an example of a means for determining whether or not, the process of S23 is executed.

  Further, the processing of S23 executed by the character recognition support device 20 is based on the positional relationship between the coordinate information of the evaluation character string and the character string recognized in the predetermined area corresponding to the evaluation character string. FIG. 11 is an example of a correction movement determination step for determining whether or not correction movements in a plurality of axial directions with respect to an appropriate shooting position of a captured image of the recognition target object are necessary. Further, the CPU 11 or the like of the character recognition support device 20 determines the recognition target based on the positional relationship between the coordinate information of the evaluation character string and the character string recognized in the predetermined area corresponding to the evaluation character string. The process of S23 is executed as an example of a correction movement determination unit that determines the necessity of correction movements in a plurality of axial directions with respect to an appropriate shooting position of the captured image of the body.

  In addition, the process of S24 executed by the character recognition support device 20 determines whether or not the user can recognize characters on at least one of the plurality of axes indicating the posture of the rectangular recognition object based on the relationship. It is an example of the display control step displayed in an identifiable manner. In addition, the CPU 11 or the like of the character recognition support device 20 can recognize whether or not characters can be recognized on at least one of the plurality of axes indicating the posture of the rectangular recognition object based on the relationship. As an example of the display control means for displaying in step S24, the process of S24 is executed.

[Image quality evaluation processing]
Next, details of the image quality evaluation process of S21 illustrated in FIG. 7A will be described with reference to the flowchart illustrated in FIG. 7B. In the flowchart illustrated in FIG. 7B, for example, the character recognition assisting apparatus 20 adds flag information that sets the “image quality flag” to “0” to the image data of the captured image of the form being processed (S31). The flag information set in the “image quality flag” is information for identifying a binary state by a single bit such as “0” or “1”, for example. In the process of S31, the character recognition assisting apparatus 20 sets flag information that sets “image quality flag” to “0” as an initial value for the image data of the captured image being processed.

  In the process of S32, the character recognition support apparatus 20 reads the evaluation character string data (image quality evaluation character string table) corresponding to the form being photographed with reference to the evaluation character string DB 201, for example. The read evaluation character string data is temporarily stored in a predetermined area of the main storage unit 12, for example.

In the process of S33, for example, the character recognition support apparatus 20 is based on the coordinate data “sx”, “sy”, “ex”, “ey” in the image area of the evaluation character string read in the process of S32. Set the evaluation area. The setting of the evaluation area is performed based on, for example, mathematical formulas (2) and (3). For example, the character recognition support apparatus 20 performs character recognition on the evaluation area in the image area, and determines whether character recognition of the evaluation character string in the evaluation areas at two or more corners has been performed (S34).

  For example, when the character recognition of the evaluation character string in the evaluation areas at two or more corners is performed (S34, “Y”), the character recognition support device 20 proceeds to the process of S35. In the process of S35, for example, the character recognition support apparatus 20 determines that the image data of the captured image being processed has sufficient image quality for recognizing characters in the form, and the flag value of the “image quality flag” Set “1” to. The character recognition support device 20 ends the image quality evaluation process being processed. Further, for example, when character recognition of the evaluation character string in the evaluation areas at two or more corners is not performed (S34, “N”), the character recognition assisting apparatus 20 ends the image quality evaluation process being processed. .

  Here, the process of S32-S33 performed by the character recognition assistance apparatus 20 is based on the coordinate information of the several evaluation character string in the said recognition target body registered into the memory | storage part, and includes the said recognition target body. It is an example of the step which specifies the predetermined area | region more than three corners in an image. Further, the CPU 11 or the like of the character recognition support device 20 has three or more corners in the captured image including the recognition target object based on the coordinate information of the plurality of evaluation character strings in the recognition target object registered in the storage unit. As an example of a means for specifying the predetermined area, the processing of S32 to S33 is executed.

  The process of S34 executed by the character recognition support device 20 performs character recognition on the partial image in the predetermined area, and the character string recognized in the predetermined area and the evaluation character in the recognition object. It is an example of the step which determines the relationship with a column. Further, the CPU 11 or the like of the character recognition support device 20 performs character recognition on the partial image in the predetermined area, and the relationship between the character string recognized in the predetermined area and the evaluation character string in the recognition object. As an example of a means for determining whether or not, the process of S34 is executed.

[Form status estimation process]
Next, details of the form state estimation processing in S23 illustrated in FIG. 7A will be described with reference to the flowcharts illustrated in FIGS. 7C-7H and 7J. FIG. 7C is an example of a flowchart showing the overall process of the form state estimation process.

  For example, when the character recognition is performed for the evaluation areas at the two corners, the character recognition support device 20 determines whether the “character string” and the “evaluation character string” recognized in the evaluation areas at the two corners. Based on the positional relationship, various movement determinations for positioning the form being processed are performed. For example, when the character recognition is performed for the evaluation areas at the three corners, the character recognition support device 20 performs the “character string” and the “evaluation character string” recognized in the evaluation areas at the two corners. Based on the positional relationship, various movement determinations and distortion correction determinations for positioning the form being processed are performed.

  In the flowchart illustrated in FIG. 7C, the character recognition support device 20 determines, for example, whether there are three corners of the evaluation area where character recognition has been performed on the captured image (image data) of the form being processed. (S41).

  For example, when there are three corners of the evaluation area where character recognition has been performed on the captured image (image data) of the form being processed (S41, “Y”), the character recognition support apparatus 20 performs the processing of S42. The process proceeds to the three corner estimation process. On the other hand, the character recognition assisting apparatus 20, for example, when there are two corners of the evaluation area where character recognition has been performed on the captured image (image data) of the form being processed (S 41, “N”), The process proceeds to the two-corner estimation process in S43.

The character recognition assisting device 20 determines, for example, whether or not various movements and distortion correction are required for positioning the form being processed by the three-corner estimation process of S42 or the two-corner estimation process of S43,
The form state estimation process for the captured image being processed ends. The three-corner estimation process in S42 will be described with reference to FIG. 7E, and the two-corner estimation process in S43 will be described with reference to FIG. 7D.

  Next, details of the two-corner estimation process of S43 illustrated in FIG. 7C will be described with reference to the flowchart illustrated in FIG. 7D. FIG. 7D is an example of a flowchart showing the entire process of the two-corner estimation process. In the two-corner estimation process, translational movement and rotational movement are performed for positioning the form being processed based on the positional relationship between the “character string” recognized in the evaluation areas at the two corners and the “evaluation character string”. Then, it is determined whether or not it is necessary to move back and forth in the depth direction. Note that the necessity of various movements is determined in the order of translational movement, rotational movement, and forward / backward movement in the depth direction.

  In the flowchart illustrated in FIG. 7D, the character recognition support apparatus 20 includes, for example, the barycentric coordinates (X′grav, Y′grav) of the “character string” recognized in the evaluation areas at the two corners, Find the barycentric coordinates (Xgrav, Ygrav) for the column. Then, for example, the character recognition support device 20 is based on the positional relationship between the barycentric coordinates (X′grav, Y′grav) for “character string” and the barycentric coordinates (Xgrav, Ygrav) for “evaluation character string”. Then, it is determined whether or not a translational movement is required for positioning the form being processed (S51). The translation estimation process in S51 will be described with reference to FIG. 7F.

  In the translation estimation process of S51, for example, when a translational movement within the image area is required for the captured image of the form being processed, “1” is set in the “translation flag” in accordance with the respective translational movement directions in the vertical and horizontal directions. -Flag information "4" is set. Note that if the translation image within the image area is not required for the captured image of the form being processed, flag information “0” is set in the “translation flag”, for example.

  In the process of S52, for example, the character recognition support apparatus 20 determines whether or not the flag information of the “translation flag” set for the captured image of the form being processed is “0”. For example, when the flag information of the “translation flag” set for the captured image of the form being processed is “0” (S52, “N”), the character recognition support device 20 performs the rotation estimation process in S53. Transition. On the other hand, for example, when the flag information of the “translation flag” set for the captured image of the form being processed is not “0” (S52, “Y”), the character recognition support apparatus 20 performs the processing of S53-S56. Is skipped, and the two-corner estimation process being processed is terminated.

In the rotation estimation process of S53, the character recognition support device 20 uses, for example, the center of gravity coordinates (X′grav, Y′grav) for the “character string” recognized in the evaluation areas at the two corners as “ The clockwise angle in the direction of the barycentric coordinates (X'char, Y'char) for each character string "is obtained. In addition, the character recognition support device 20, for example, for each “evaluation character string” centered on the barycentric coordinates (Xgrav, Ygrav) of the “evaluation character string” corresponding to the evaluation areas at the two corners recognized by the character. A clockwise angle in the direction of the barycentric coordinate (Xchar, Ychar) is obtained. Then, the character recognition support device 20, for example, the clockwise angle in the centroid coordinate (X′char, Y′char) direction for each “character string”, and the centroid coordinate (Xchar, Ychar) for each “evaluation character string”. Based on the clockwise angle in the direction, it is determined whether or not a rotational movement is required for positioning the form being processed. The rotation estimation process in S53 will be described with reference to FIG. 7G.

  In the rotation estimation process of S53, for example, when a rotational movement within the image area is required for the captured image of the form being processed, the “rotation flag” is set in accordance with each of the clockwise and counterclockwise rotational movement directions. Flag information “1”-“2” is set. Note that, when the rotational movement within the image area is not required for the captured image of the form being processed, for example, flag information “0” is set in the “rotation flag”.

In the process of S54, for example, the character recognition support apparatus 20 determines whether or not the flag information of the “rotation flag” set for the captured image of the form being processed is “0”. For example, when the flag information of the “rotation flag” set for the captured image of the form being processed is “0” (S54, “N”), the character recognition support apparatus 20 performs the pre- and post-estimation processing in S55. Transition. On the other hand, for example, when the flag information of the “rotation flag” set for the captured image of the form being processed is not “0” (S54, “Y”), the character recognition support apparatus 20 performs the processing of S55 to S56. Is skipped, and the two-corner estimation process being processed is terminated.

  In the front-rear estimation process of S55, the character recognition support device 20 uses, for example, the barycentric coordinates (X′grav, Y′grav) for the “character string” recognized in the evaluation areas at the two corners, and each “character string”. The distance to the barycentric coordinates (X'char, Y'char) is obtained. Further, the character recognition support device 20, for example, centroid coordinates (Xgrav, Ygrav) for the “evaluation character string” corresponding to the evaluation areas at the two corners recognized by the character, and the centroid coordinates of each “evaluation character string” ( Xchar, Ychar) is obtained. Then, the character recognition support device 20 determines, for example, the distance to the centroid coordinates (X′char, Y′char) of each “character string” and the distance to the centroid coordinates (Xchar, Ychar) of each “evaluation character string”. Based on this, it is determined whether or not it is necessary to move back and forth in the depth direction for positioning the form being processed. The front-rear estimation process in S55 will be described with reference to FIG. 7H.

  In the forward / backward estimation process in S55, for example, when the captured image of the form being processed is required to move back and forth in the depth direction, the “front and back flag” is set according to the movement direction in the forward and backward directions. Flag information “1”-“2” is set. Note that when the captured image of the form being processed is not required to move back and forth in the depth direction, for example, “0” flag information is set in the “front and back flag”.

  In the process of S56, for example, the character recognition support apparatus 20 determines whether or not the flag information of the “front and back flag” set for the captured image of the form being processed is “0”. For example, when the flag information of the “front and back flag” set for the captured image of the form being processed is “0” (S56, “N”), the character recognition support device 20 stores the flag information in the main storage unit. The information is temporarily stored in 12 predetermined areas, and the two-corner estimation process being processed is terminated. Further, for example, when the flag information of the “front and back flag” set for the captured image of the form being processed is not “0” (S56, “Y”), the character recognition support apparatus 20 performs processing at two corners. The estimation process ends.

  Next, details of the three-corner estimation process of S42 illustrated in FIG. 7C will be described with reference to the flowchart illustrated in FIG. 7E. FIG. 7E is an example of a flowchart illustrating the entire process of the three corner estimation process. In the three-corner estimation process, translational movement and rotational movement are performed to position the form being processed based on the positional relationship between the “character string” recognized in the evaluation area at the three corners and the “evaluation character string”. Then, it is determined whether or not it is necessary to perform forward / backward movement in the depth direction and distortion correction. Note that the necessity of various movements is determined in the order of translational movement, rotational movement, and forward / backward movement in the depth direction. Further, the necessity determination of the distortion correction is performed after the necessity determination of the forward / backward movement in the depth direction is performed.

  In the three-corner estimation process illustrated in FIG. 7E, in the processes of S51 to S55, for example, the character recognition support device 20 performs the following operations on “character strings” and “evaluation character strings” recognized in the evaluation areas at the three corners. The process of S51-S55 illustrated in FIG. 7D is executed. In the process of S56a, for example, the character recognition support apparatus 20 determines whether or not the flag information of the “front and back flag” set for the captured image of the form being processed is “0”.

  For example, when the flag information of the “rotation flag” set for the captured image of the form being processed is not “0” (S56a, “Y”), the character recognition support apparatus 20 skips the processing of S57 to S58. Then, the three corner estimation process being processed is terminated. On the other hand, for example, when the flag information of the “front / rear rotation flag” set for the captured image of the form being processed is “0” (S56a, “N”), the character recognition support apparatus 20 performs the distortion of S57. Transition to estimation processing.

  In the distortion estimation process of S57, the character recognition support apparatus 20 determines, for example, the distance “C′12” between the centroid coordinates of “character string 1” and “character string 2” recognized in the evaluation areas at the three corners. Ask for. Further, the character recognition support device 20 obtains a distance “C′13” between the center of gravity coordinates of “character string 1” and “character string 3”, for example. Similarly, for example, the character recognition support apparatus 20 includes the distance “C12” between the centroid coordinates of “evaluation character string 1” and “evaluation character string 2” in the evaluation character strings at three corners, “evaluation character string”. The distance between the centroid coordinates “1” and “evaluation character string 3” and the distance “C13” is obtained.

  Then, the character recognition support apparatus 20, for example, “C′12” and “C′13” recognized in the evaluation area and “C12” and “C12” of the “evaluation character string” corresponding to each evaluation area. Based on the respective distance ratios to C13 ″, it is determined whether or not distortion correction is necessary for the captured image being processed. Note that the distortion estimation processing in S57 will be described with reference to FIG. 7J.

  In the distortion estimation processing in S57, for example, when a correction movement for performing distortion correction is required for the captured image of the form being processed, the “distortion flag” is set in accordance with the respective correction movement directions in the horizontal direction and the vertical direction. Flag information “1”-“4” is set in In addition, when the correction movement for performing distortion correction is not calculated | required about the captured image of the form in process, flag information of "0" is set to "distortion flag", for example.

  In the process of S58, for example, the character recognition support apparatus 20 determines whether or not the flag information of the “distortion flag” set for the captured image of the form being processed is “0”. For example, when the flag information of the “distortion flag” set for the captured image of the form being processed is “0” (S58, “N”), the character recognition support device 20 stores the flag information in the main storage unit. The information is temporarily stored in 12 predetermined areas, and the three-corner estimation process being processed is terminated. Further, for example, when the flag information of the “distortion flag” set for the captured image of the form being processed is not “0” (S58, “Y”), the character recognition support apparatus 20 performs processing at the three corners being processed. The estimation process ends.

(Translation estimation process)
Details of the translation estimation process of S51 illustrated in FIGS. 7D and 7E will be described with reference to the flowchart illustrated in FIG. 7F. In the flowchart illustrated in FIG. 7F, the character recognition support apparatus 20 sets, for example, flag information “0” in the “translation flag” (S61). Then, the character recognition assisting device 20, for example, the barycentric coordinates (X′grav, Y′grav) of the “character string” recognized in the evaluation areas at two or more corners, and the “evaluation corresponding to the evaluation area” The barycentric coordinates (Xgrav, Ygrav) for the character string "are calculated (S62).

  For example, the character recognition assisting device 20 calculates the barycentric coordinates (Xgrav, Ygrav) for the “evaluation character string” corresponding to the evaluation areas at two or more corners based on the equations (4) to (7). In addition, the character recognition support device 20, for example, based on mathematical expressions (4)-(5), (6a)-(7a), centroids about “character strings” that have been character-recognized in two or more evaluation areas. Coordinates (X′grav, Y′grav) are calculated. Note that the barycentric coordinates (Xgrav, Ygrav) and (X′grav, Y′grav) have been described in Equations (4)-(7), (6a)-(7a).

  In the processing of S63-S6A, for example, the character recognition support apparatus 20 determines the necessity of translational movement in the vertical and horizontal directions with respect to the captured image of the form being processed based on the positional relationship of the barycentric coordinates calculated in the processing of S62. judge.

For example, the character recognition assisting apparatus 20 determines whether or not the translational movement in the left-right direction with respect to the captured image of the form being processed is possible based on the relationship of Expression (8) with respect to the positional relationship of the barycentric coordinates calculated in the process of S62. . Further, for example, the character recognition support device 20 determines whether or not the translational movement in the left-right direction with respect to the captured image of the form being processed is possible based on the relationship of Equation (9) with respect to the positional relationship of the barycentric coordinates calculated in the process of S62. judge.

  The result of the determination as to whether or not translation is necessary is reflected as flag information “1” to “4” set in the “translation flag”, for example. Note that the determination of the necessity of translational movement in the up / down / left / right directions has been described in Equations (8) and (9).

  In the process of S63, for example, the character recognition assisting apparatus 20 determines whether or not the positional relationship of the barycentric coordinates calculated in the process of S62 satisfies the relationship of (Xgrav−Thx)> X′grav. For example, when the positional relationship between the barycentric coordinates calculated in the process of S62 satisfies the relationship (Xgrav−Thx)> X′grav (S63, “Y”), the character recognition assisting apparatus 20 performs “translation flag”. Is set to "1" flag information (S67). On the other hand, for example, when the positional relationship between the barycentric coordinates calculated in the process of S62 does not satisfy the relationship of (Xgrav−Thx)> X′grav (S63, “N”), the character recognition support device 20 performs S64. Move on to processing.

  In the process of S64, for example, the character recognition support apparatus 20 determines whether or not the positional relationship of the barycentric coordinates calculated in the process of S62 satisfies the relationship of X′grav> (Xgrav + Thx). For example, when the positional relationship between the barycentric coordinates calculated in the process of S62 satisfies the relationship X′grav> (Xgrav + Thx) (S64, “Y”), the character recognition assisting device 20 sets “translation flag” to “ 2 ″ flag information is set (S68). On the other hand, for example, when the positional relationship between the barycentric coordinates calculated in the process of S62 does not satisfy the relationship of X′grav> (Xgrav + Thx) (S64, “N”), the character recognition support apparatus 20 performs the process of S65. Migrate to

  In the process of S65, for example, the character recognition support apparatus 20 determines whether or not the positional relationship of the barycentric coordinates calculated in the process of S62 satisfies the relationship of (Ygrav−Thy)> Y′grav. For example, when the positional relationship between the barycentric coordinates calculated in the process of S62 satisfies the relationship (Ygrav−Thy)> Y′grav (S65, “Y”), the character recognition assisting device 20 performs “translation flag”. The flag information “3” is set in (S69). On the other hand, for example, when the positional relationship between the barycentric coordinates calculated in the process of S62 does not satisfy the relationship of (Ygrav−Thy)> Y′grav (S65, “N”), the character recognition support device 20 performs S66. Move on to processing.

  In the process of S66, for example, the character recognition assisting apparatus 20 determines whether the relationship of Y′grav> (Ygrav + Thy) is satisfied with respect to the positional relationship of the barycentric coordinates calculated in the process of S62. For example, when the positional relationship between the barycentric coordinates calculated in the process of S62 satisfies the relationship of Y′grav> (Ygrav + Thy) (S66, “Y”), the character recognition assisting apparatus 20 sets “translation flag” to “ 3 ″ flag information is set (S6A). On the other hand, for example, when the positional relationship between the barycentric coordinates calculated in the process of S62 does not satisfy the relationship of Y′grav> (Ygrav + Thy) (S66, “N”), the character recognition support device 20 The translation estimation process ends.

  Here, the processing of S61-S6A executed by the character recognition support device 20 includes the center of gravity of a combination area including two or more character strings recognized from partial images in two or more corners of the predetermined area, and the predetermined area. Based on the positional relationship with the center of gravity of the combination area including two or more evaluation character strings corresponding to, it is determined whether or not a translational movement is required in one of the up, down, left, and right directions with respect to the captured image of the recognition object. Is an example of steps. Further, the CPU 11 or the like of the character recognition support device 20 has a center of gravity of a combination area including two or more character strings recognized from partial images in two or more corners in a predetermined area, and two or more evaluations corresponding to the predetermined area. As an example of means for determining the necessity of translational movement in any one of the vertical and horizontal directions with respect to the captured image of the recognition target object based on the positional relationship with the center of gravity of the combination area including the character string, S61- The process of S6A is executed.

(Rotation estimation process)
Details of the rotation estimation process of S53 illustrated in FIGS. 7D and 7E will be described with reference to the flowchart illustrated in FIG. 7G. In the flowchart illustrated in FIG. 7G, the character recognition support apparatus 20 sets, for example, flag information “0” in the “rotation flag” (S71). Then, the character recognition assisting device 20, for example, the barycentric coordinates (X′grav, Y′grav) of the “character string” recognized in the evaluation areas at two or more corners, and the “evaluation corresponding to the evaluation area” The barycentric coordinates (Xgrav, Ygrav) for the character string "are calculated (S72). In the process of S72, for example, the same process as the process of S62 in the flowchart illustrated in FIG. 7F is performed.

  In the processing of S73, the character recognition assisting apparatus 20 determines, for example, the barycentric coordinates (X'charv, Y'grav) and the barycentric coordinates (X'char) for each "character string" recognized in the evaluation areas at two or more corners. , Y′char), the angle (θ′char) in the clockwise direction is calculated. Further, the character recognition support device 20, for example, the clockwise angle between the centroid coordinates (Xgrav, Ygrav) and the centroid coordinates (Xchar, Ychar) for each “evaluation character string” corresponding to two or more evaluation areas. (Θchar) is calculated. Note that the angle (θ'char) for each “character string” and the angle (θchar) for each “evaluation character string” have been described with the equations (10) and (10a).

  In the process of S74-S77, the character recognition support apparatus 20 has, for example, the relationship between the angle (θ′char) for each “character string” and the angle (θchar) for each “evaluation character string” calculated in the process of S73. Based on this, it is determined whether or not the rotational movement of the captured image of the form being processed is necessary. For example, when the character recognition is performed in the evaluation areas at the three corners, the determination of whether or not the rotational movement is necessary is performed based on the relationship of Expression (10). Further, for example, when character recognition is performed in the evaluation areas at the two corners, the necessity of rotational movement is determined based on the relationship of the mathematical formula (10a).

  Note that the processing of S74 to S77 illustrated in FIG. 7G is a processing example when character recognition is performed in the evaluation areas at the two corners of “evaluation character string 1” and “evaluation character string 2”.

In the process of S74, for example, the character recognition support apparatus 20 has a relationship between the angle (θ′char) for each “character string” calculated in the process of S73 and the angle (θchar) for each “evaluation character string”. θchar1
It is determined whether or not the relationship of + θchar2−Thθ)> (θ′char1 + θ′char2) is satisfied.

For example, the character recognition assisting device 20 has a relationship between the angles calculated in the process of S73 (θchar1).
+ Θchar2−Thθ)> (θ′char1 + θ′char2) (S74, “
Y ”), flag information of“ 1 ”is set in the“ rotation flag ”(S76) On the other hand, the character recognition support apparatus 20 has, for example, the relationship between the angles calculated in the process of S73 is (θchar1 + θchar2-Thθ)> When the relationship (θ′char1 + θ′char2) is not satisfied (S74, “N”), the process proceeds to S75.

  In the process of S74, when the evaluation areas at the two corners where the character recognition has been performed are “evaluation character string 1” and “evaluation character string 3”, for example, the character recognition support device 20 (θchar1 + θchar3− It may be determined whether or not the relationship of Thθ)> (θ′char1 + θ′char3) is satisfied. Similarly, when the evaluation areas at the two corners where character recognition has been performed are “evaluation character string 2” and “evaluation character string 3”, the character recognition support device 20 may, for example, (θchar2 + θchar3-Thθ)> It may be determined whether or not the relationship (θ′char2 + θ′char3) is satisfied.

  When character recognition is performed in the evaluation areas at the three corners in the process of S74, the character recognition support apparatus 20 has, for example, a relationship of (θchar1 + θchar2 + θchar3-Thθ)> (θ′char1 + θ′char2 + θ′char3). What is necessary is just to determine whether it satisfy | fills.

In the process of S75 in FIG. 7G, the character recognition support apparatus 20 has, for example, a relationship between the angle (θ′char) for each “character string” calculated in the process of S73 and the angle (θchar) for each “evaluation character string”. , (Θ′char1 + θ′char2)> (θchar1 + θchar2 + Thθ) is satisfied.

  For example, when the relationship between the angles calculated in the process of S73 satisfies the relationship (θ′char1 + θ′char2)> (θchar1 + θchar2 + Thθ) (S75, “Y”), the character recognition support apparatus 20 determines “rotation flag”. Is set to "2" flag information (S77). On the other hand, for example, when the relationship between the angles calculated in the processing of S73 does not satisfy the relationship of (θ′char1 + θ′char2)> (θchar1 + θchar2 + Thθ) (S75, “N”) The rotation estimation process in the middle is finished.

In the process of S75, when the evaluation areas at the two corners where the character recognition is performed are “evaluation character string 1” and “evaluation character string 3”, for example, the character recognition support apparatus 20 (θ ′ char1 + θ
It may be determined whether or not the relationship of 'char3)> (θchar1 + θchar3 + Thθ) is satisfied. Similarly, when the evaluation areas at the two corners where the character recognition has been performed are “evaluation character string 2” and “evaluation character string 3”, the character recognition support apparatus 20 may, for example, (θ′char2 + θ′char3). )> (Θchar2
It may be determined whether or not the relationship of + θchar3 + Thθ) is satisfied.

  When character recognition is performed in the evaluation areas at the three corners in the process of S75, the character recognition support device 20 satisfies the relationship of (θ′char1 + θ′char2 + θ′char3)> (θchar1 + θchar2 + θchar3 + Thθ), for example. Or not.

  Here, the processing of S71 to S77 executed by the character recognition support device 20 is performed by recognizing the character from the center of gravity of the combination region including two or more character strings recognized from the partial images in the predetermined region at two or more corners. Based on the relative relationship between the angle in the centroid direction for each character string and the angle in the centroid direction for each evaluation character string from the centroid of the combination region including two or more evaluation character strings corresponding to the predetermined region, It is an example of a step for determining whether or not a clockwise or counterclockwise rotational movement is required for a captured image of the recognition target object. Further, the CPU 11 or the like of the character recognition support device 20 determines the direction of the center of gravity for each character string recognized from the center of gravity of the combination area including two or more character strings recognized from the partial images in the predetermined area at two or more corners. And a captured image of the recognition target object based on a relative relationship between the angle to the center of gravity of the combination area including two or more evaluation character strings corresponding to the predetermined area and the angle in the direction of the center of gravity for each evaluation character string As an example of means for determining whether or not a clockwise or counterclockwise rotational movement is necessary, the processing of S71 to S77 is executed.

(Before and after estimation process)
With reference to the flowchart illustrated in FIG. 7H, details of the front-rear estimation process in S55 illustrated in FIGS. 7D and 7E will be described. In the flowchart illustrated in FIG. 7H, the character recognition support apparatus 20 sets, for example, flag information of “0” in “front and back flags” (S81). Then, the character recognition assisting device 20, for example, the barycentric coordinates (X′grav, Y′grav) of the “character string” recognized in the evaluation areas at two or more corners, and the “evaluation corresponding to the evaluation area” The barycentric coordinates (Xgrav, Ygrav) for the character string "are calculated (S82). In the process of S82, for example, the same process as the process of S62 in the flowchart illustrated in FIG. 7F is performed.

  In the process of S83, for example, the character recognition support apparatus 20 determines the centroid coordinates (X′char) for each “character string” that has been recognized by the centroid coordinates (X′grav, Y′grav) and the evaluation areas at two or more corners. , Y′char), the distance (D′ char) is calculated. Further, the character recognition support device 20 calculates, for example, the distance (Dchar) between the centroid coordinates (Xgrav, Ygrav) and the centroid coordinates (Xchar, Ychar) for each “evaluation character string” corresponding to two or more evaluation areas. calculate. The distance (D'char) between the barycentric coordinates for each "character string" and the distance (Dchar) between the barycentric coordinates for each "evaluation character string" have been described with the equations (11) and (11a).

In the processing of S84 to S87, the character recognition support apparatus 20 determines, for example, the relationship between the distance (D′ char) for each “character string” calculated in the processing of S83 and the distance (Dchar) for each “evaluation character string”. Based on this, it is determined whether or not it is necessary to move back and forth in the depth direction with respect to the captured image of the form being processed. The determination of whether or not to move back and forth in the depth direction is performed based on the relationship of Expression (11) when character recognition is performed in the evaluation areas at the three corners, for example. Further, for example, when character recognition is performed in the evaluation areas at the two corners, it is determined whether or not it is necessary to move back and forth in the depth direction based on the relationship of Expression (11a).

  Note that the processing of S84 to S87 illustrated in FIG. 7H is a processing example when character recognition is performed in the evaluation areas at the two corners of “evaluation character string 1” and “evaluation character string 2”.

In the process of S84, for example, the character recognition support apparatus 20 has a relationship between the distance (D'char) for each "character string" calculated in the process of S83 and the distance (Dchar) for each "evaluation character string" ( Dchar1
It is determined whether or not the relationship of + Dchar2-Thd)>(D'char1 + D'char2) is satisfied.

For example, the character recognition assisting device 20 has a relationship between the distances calculated in the process of S83 (Dchar1).
+ Dchar2−Thd)> (D′ char1 + D′ char2) (S84, “
Y ”), flag information of“ 1 ”is set in the“ front and back flag ”(S86) On the other hand, the character recognition support device 20 has, for example, the relationship between the distances calculated in the process of S83 is (Dchar1 + Dchar2-Thd)> If the relationship of (D′ char1 + D′ char2) is not satisfied (S84, “N”), the process proceeds to S85.

  In the process of S84, when the evaluation areas at the two corners where the character recognition has been performed are “evaluation character string 1” and “evaluation character string 3”, for example, the character recognition support apparatus 20 (Dchar1 + Dchar3− It may be determined whether or not the relationship of Thd)> (D′ char1 + D′ char3) is satisfied. Similarly, when the evaluation areas at the two corners where character recognition has been performed are “evaluation character string 2” and “evaluation character string 3”, the character recognition support device 20 may, for example, (Dchar2 + Dchar3-Thd)> It may be determined whether or not the relationship of (D′ char2 + D′ char3) is satisfied.

  When character recognition is performed in the evaluation areas at the three corners in the process of S84, the character recognition support apparatus 20 has, for example, a relationship of (Dchar1 + Dchar2 + Dchar3-Thd)> (D'char1 + D'char2 + D'char3). What is necessary is just to determine whether it satisfy | fills.

  In the process of S85 of FIG. 7H, for example, the character recognition support apparatus 20 relates the distance (D′ char) for each “character string” and the distance (Dchar) for each “evaluation character string” calculated in the process of S83. However, it is determined whether or not the relationship of (D′ char1 + D′ char2)> (Dchar1 + Dchar2 + Thd) is satisfied.

  For example, when the relationship between the distances calculated in the process of S83 satisfies the relationship (D′ char1 + D′ char2)> (Dchar1 + Dchar2 + Thd) (S85, “Y”), the character recognition assisting apparatus 20 performs “front and back flags”. The flag information of “2” is set in (S87). On the other hand, for example, when the relationship between the distances calculated in the process of S83 does not satisfy the relationship of (D'char1 + D'char2)> (Dchar1 + Dchar2 + Thd) (S85, "N") The front / rear estimation process is terminated.

In the processing of S85, when the evaluation areas at the two corners where the character recognition is performed are “evaluation character string 1” and “evaluation character string 3”, for example, the character recognition support apparatus 20 (D ′ char1 + D
It may be determined whether or not the relationship of 'char3)> (Dchar1 + Dchar3 + Thd) is satisfied. Similarly, when the evaluation areas at the two corners where character recognition has been performed are “evaluation character string 2” and “evaluation character string 3”, the character recognition support apparatus 20 may, for example, (D′ char2 + D′ char3). )> (Dchar2
It may be determined whether or not the relationship + Dchar3 + Thd) is satisfied.

  If character recognition is performed in the evaluation areas at the three corners in the process of S84, the character recognition support device 20 satisfies the relationship of (D'char1 + D'char2 + D'char3)> (Dchar1 + Dchar2 + Dchar3 + Thd), for example. Or not.

  Here, the processing of S81-S87 executed by the character recognition support device 20 is performed by recognizing the center of gravity of a combination area including two or more character strings recognized from partial images in a predetermined area at two or more corners and the character recognition. The recognition based on the distance between the center of gravity of each character string and the relative relationship between the center of gravity of the combination area including two or more evaluation character strings corresponding to the predetermined area and the center of gravity of each evaluation character string. It is an example of the step which determines the necessity of the movement about the expansion direction or reduction direction of the image size of the captured image of a target object. Further, the CPU 11 or the like of the character recognition support device 20 has a center of gravity of a combination area including two or more character strings recognized from partial images in a predetermined area at two or more corners, and a center of gravity for each character string recognized. And the image of the captured image of the recognition object based on the relative relationship between the distance between the center of the combination area including two or more evaluation character strings corresponding to the predetermined area and the center of gravity for each evaluation character string As an example of means for determining whether or not the movement in the size enlargement direction or the reduction direction is necessary, the processing of S81 to S87 is executed.

(Distortion estimation processing)
Details of the distortion estimation processing in S57 illustrated in FIG. 7E will be described with reference to the flowchart illustrated in FIG. 7J. For example, when character recognition is performed in the evaluation areas at the three corners, the character recognition assisting apparatus 20 performs a distortion estimation process on the captured image of the form being photographed as illustrated in FIG. 7J.

  In the flowchart illustrated in FIG. 7J, the character recognition support apparatus 20 sets, for example, flag information of “0” in “distortion flag” (S91).

  In the process of S92, for example, the character recognition assisting apparatus 20 determines the distance “C12” between the barycentric coordinates of “evaluation character string 1” and “evaluation character string 2” parallel to the left and right sides of the form, and the vertical direction of the form. The distance “C13” between the center-of-gravity coordinates of “evaluation character string 1” and “evaluation character string 3” parallel to the sides is calculated. In addition, the character recognition support device 20 has distances “C′12”, “character string 1” between the centroid coordinates of “character string 1” and “character string 2” recognized in the evaluation areas at the three corners. The distance “C′13” between the barycentric coordinates for “character string 3” is calculated.

  In the process of S93, for example, the character recognition support device 20 | 1- (C'12 / C12) | and | 1- (C'13 / C13) based on the distances calculated in the process of S92. The distance ratio of | is calculated. Then, the character recognition support device 20 determines that the calculated magnitude relationship between | 1- (C′12 / C12) | and | 1- (C′13 / C13) | 12 / C12) |> | 1- (C′13 / C13) |

  For example, if the character recognition support device 20 satisfies the magnitude relationship of | 1- (C′12 / C12) |> | 1- (C′13 / C13) | (S93, “Y”), S94− The processes of S95 and S98-S99 are executed, and the distortion estimation process for the captured image of the form being processed ends. On the other hand, the character recognition support device 20 does not satisfy the magnitude relationship of | 1- (C′12 / C12) |> | 1- (C′13 / C13) | (S93, “N”), for example. , S96-S97, S9A-S9B are executed, and the distortion estimation process for the captured image of the form being processed is terminated.

  In the processes of S94-S95 and S98-S99 illustrated in FIG. 7J, for example, it is determined whether or not distortion correction in the left-right direction is necessary for the captured image of the form being processed. Whether the distortion correction in the left-right direction is necessary for the captured image of the form being processed is determined based on, for example, the relationship of Equation (12). Note that the distortion correction in the left-right direction has been described using Equation (12).

  In the processes of S96-S97 and S9A-S9B illustrated in FIG. 7J, for example, it is determined whether or not vertical distortion correction is required for the captured image of the form being processed. For determining whether or not distortion correction in the vertical direction is necessary for the captured image of the form being processed, for example, the necessity of distortion correction for each direction is determined based on the relationship of Equation (13). Note that the vertical distortion correction has been described with Equation (13).

  In the process of S94, for example, the character recognition support apparatus 20 determines whether (1- (C′12 / C12)) satisfies the relationship −Thc> (1- (C′12 / C12)). To do. For example, when (1- (C′12 / C12)) satisfies the relationship −Thc> (1- (C′12 / C12)) (S94, “Y”). The flag information “1” is set in the “distortion flag” (S98). On the other hand, the character recognition support device 20, for example, if (1- (C′12 / C12)) does not satisfy the relationship −Thc> (1- (C′12 / C12)) (S94, “ N ″), the process proceeds to S95.

  In the process of S95, for example, the character recognition support apparatus 20 determines whether (1- (C′12 / C12)) satisfies the relationship (1- (C′12 / C12))> Thc. . For example, when (1- (C′12 / C12)) satisfies the relationship of (1- (C′12 / C12))> Thc (S95, “Y”), the character recognition support device 20 Flag information “2” is set in the “distortion flag” (S99). On the other hand, the character recognition support device 20, for example, if (1- (C′12 / C12)) does not satisfy the relationship of (1- (C′12 / C12))> Thc (S95, “N "), The distortion estimation process for the captured image of the form being processed is terminated.

  In the process of S96, for example, the character recognition support apparatus 20 determines whether (1- (C′13 / C13)) satisfies the relationship −Thc> (1- (C′13 / C13)). To do. For example, when (1- (C′13 / C13)) satisfies the relationship −Thc> (1- (C′13 / C13)) (S96, “Y”). The flag information “3” is set in the “distortion flag” (S9A). On the other hand, the character recognition support device 20, for example, if (1- (C′13 / C13)) does not satisfy the relationship −Thc> (1- (C′13 / C13)) (S96, “ N "), the process proceeds to S97.

  In the process of S97, for example, the character recognition support apparatus 20 determines whether (1- (C′13 / C13)) satisfies a relationship of (1- (C′13 / C13))> Thc. . For example, when (1- (C′13 / C13)) satisfies the relationship of (1- (C′13 / C13))> Thc (S97, “Y”), Flag information “4” is set in the “distortion flag” (S9B). On the other hand, the character recognition support device 20, for example, if (1- (C′13 / C13)) does not satisfy the relationship of (1- (C′13 / C13))> Thc (S97, “N "), The distortion estimation process for the captured image of the form being processed is terminated.

Here, the processing of S91-S9B executed by the character recognition support device 20 is the first character between the first character string and the second character string recognized from the partial images in the predetermined area at three or more corners. The first distance ratio between the distance between the columns, the distance between the first evaluation character strings corresponding to the predetermined area and the first evaluation character string, and the first character string and the third character The relative relationship of the second distance ratio between the distance between the second character strings between the strings and the distance between the second evaluation character strings between the first evaluation character string and the third evaluation character string corresponding to the predetermined area This is an example of determining whether or not it is necessary to move to correct distortion in any one of the upper, lower, left, and right directions of the captured image of the recognition target object in the image area. Further, the CPU 11 or the like of the character recognition assisting device 20 determines the distance between the first character strings between the first character string and the second character string recognized from the partial images in the predetermined areas at three or more corners, and the predetermined character string. The first distance ratio between the first evaluation character string and the first evaluation character string between the first evaluation character string and the second evaluation character string corresponding to the region, and the second between the first character string and the third character string. Based on the relative relationship of the second distance ratio between the character string distance and the second evaluation character string distance between the first evaluation character string and the third evaluation character string corresponding to the predetermined region, the image region The process of S91-S9B is performed as an example of a means for determining whether or not it is necessary to move to correct distortion in any one of the upper, lower, left, and right directions of the captured image of the recognition object.

[Status display processing]
Next, the details of the status display process of S24 illustrated in FIG. 7A will be described with reference to the flowchart illustrated in FIGS. 8A-8E. FIG. 8A is an example of a flowchart showing the entire state display process.

  In the state display process illustrated in FIG. 8A, for example, based on various flag information of translation movement, rotational movement, forward / backward movement in the depth direction, and distortion correction associated with the form state estimation process in S23 illustrated in FIG. 7A. Positioning support for the captured image of the form being processed is performed. Positioning support for the captured image of the form being processed is performed by, for example, a display frame such as a guide frame indicating an appropriate shooting position, an arrow indicating the moving direction of the captured image in the image area, and a marker. The character recognition assisting device 20 superimposes display components such as a guide frame indicating an appropriate shooting position and an arrow indicating the moving direction of the captured image in the image area on the captured image of the form being captured, for example, on the monitor display. Is displayed on a display screen such as the LCD 15a.

  In the flowchart illustrated in FIG. 8A, for example, the character recognition support apparatus 20 determines whether or not translational movement within the image area is necessary for the captured image (image data) of the form being processed (S101). For example, the determination of the necessity of translational movement within the image area of the captured image of the form being processed is performed by, for example, setting the flag information of the “translation flag” set in the captured image being processed as “translation flag> 0”. This is done depending on whether the relationship is satisfied.

  For example, when the flag information of the “translation flag” for the captured image of the form being processed satisfies the relationship “translation flag> 0” (S101, “Y”), the character recognition support apparatus 20 performs the translation of S102. The display process is executed, and the status display process being processed is terminated. On the other hand, for example, when the flag information of the “translation flag” for the captured image of the form being processed does not satisfy the relationship “translation flag> 0” (S101, “N”), the character recognition support device 20 The process proceeds to S103. The translation display process in S102 will be described with reference to FIG. 8B.

  In the process of S103, the character recognition support apparatus 20 determines whether the image information of the “rotation flag” set for the captured image of the form being processed satisfies the relationship “rotation flag> 0”, for example. A determination is made as to whether or not rotational movement is required within the area.

  For example, when the flag information of the “rotation flag” for the captured image of the form being processed satisfies the relationship “rotation flag> 0” (S103, “Y”), the character recognition support apparatus 20 performs the rotation of S104. The display process is executed, and the status display process being processed is terminated. On the other hand, for example, when the flag information of the “rotation flag” for the captured image of the form being processed does not satisfy the relationship “rotation flag> 0” (S103, “N”), the character recognition support device 20 The process proceeds to S105. The translation display process in S104 will be described with reference to FIG. 8C.

  In the process of S105, the character recognition support apparatus 20 determines whether the flag information of the “front and back flag” set for the captured image of the form being processed satisfies the relationship “front and back flag> 0”, for example. It is determined whether or not it is necessary to move back and forth in the depth direction within the region.

For example, when the flag information of the “front / rear flag” for the captured image of the form being processed satisfies the relationship of “front / rear flag> 0” (S105, “Y”), the character recognition assisting apparatus 20 before and after S106. The display process is executed, and the status display process being processed is terminated. On the other hand, the character recognition support device 20, for example, when the flag information of the “front and back flag” for the captured image of the form being processed does not satisfy the relationship of “front and back flag> 0” (S 105, “N”), The process proceeds to S107. Note that the front-rear display processing of S106 will be described with reference to FIG. 8D.

  In the process of S107, the character recognition support apparatus 20 determines whether the flag information of the “distortion flag” set for the captured image of the form being processed satisfies the relationship “distortion flag> 0”, for example. It is determined whether or not distortion correction is necessary in the area.

  For example, when the flag information of the “distortion flag” for the captured image of the form being processed satisfies the relationship of “distortion flag> 0” (S107, “Y”), the character recognition support apparatus 20 performs the distortion of S108. The display process is executed, and the status display process being processed is terminated. On the other hand, for example, when the flag information of the “distortion flag” for the captured image of the form being processed does not satisfy the relationship of “distortion flag> 0” (S107, “N”), the character recognition support apparatus 20 The distortion display process in S108 is skipped, and the status display process being processed is terminated. The distortion display process in S108 will be described with reference to FIG. 8E.

(Translation display processing)
Details of the translation display process of S102 illustrated in FIG. 8A will be described with reference to the flowchart illustrated in FIG. 8B. In the translation display process illustrated in FIG. 8B, the character recognition support apparatus 20 displays a guide frame indicating an appropriate shooting position, for example, by superimposing it on the captured image of the form being processed. Then, the character recognition support apparatus 20 superimposes display components such as an arrow indicating the moving direction on the captured image of the form being processed so that the captured image of the form in the image area translates in the guide frame direction. indicate. A display component such as an arrow indicating the movement direction corresponds to the direction of translation, for example.

  The character recognition assisting device 20 uses display parts such as a guide frame indicating an appropriate shooting position and an arrow indicating the moving direction of the captured image of the form in the image area displayed superimposed on the captured image of the form being processed. Then, positioning support related to translational movement is performed. The positioning support related to translational movement has been described with reference to FIG. 6D.

  In the flowchart illustrated in FIG. 8B, the character recognition support apparatus 20 determines that the flag information set in the “translation flag” is “1”, for example (S111). For example, when the flag information set in the “translation flag” is “1” (S111, “Y”), the character recognition support device 20 proceeds to the process of S112. In the process of S112, for example, the character recognition support apparatus 20 moves the display part such as an arrow indicating the moving direction to the LCD 15a so that the camera 14a or the like moves leftward and the captured image of the form in the image area moves rightward. To the display screen.

  On the other hand, for example, when the flag information set in the “translation flag” is not “1” (S111, “N”), the character recognition support device 20 proceeds to the processing of S113 and sets it as the “translation flag”. It is determined that the flag information is “2”.

  For example, when the flag information set in the “translation flag” is “2” (S113, “Y”), the character recognition support device 20 proceeds to the process of S114. In the process of S114, for example, the character recognition support apparatus 20 moves the display part such as an arrow indicating the moving direction to the LCD 15a so that the camera 14a or the like moves rightward and the captured image of the form in the image area moves leftward. To the display screen.

  On the other hand, for example, when the flag information set in the “translation flag” is not “2” (S113, “N”), the character recognition support device 20 proceeds to the processing of S115 and sets it as the “translation flag”. It is determined that the flag information is “3”.

  For example, when the flag information set in the “translation flag” is “3” (S115, “Y”), the character recognition support device 20 proceeds to the process of S116. In the process of S116, for example, the character recognition support apparatus 20 moves the camera 14a or the like upward, and displays a display component such as an arrow indicating the movement direction on the LCD 15a so that the captured image of the form in the image area moves downward. To the display screen.

  On the other hand, for example, when the flag information set in the “translation flag” is not “3” (S115, “N”), the character recognition support apparatus 20 proceeds to the process of S117. In the process of S117, for example, the character recognition assisting apparatus 20 moves the camera 14a or the like downward to display a display component such as an arrow indicating the movement direction on the LCD 15a so that the captured image of the form in the image area moves upward. To the display screen.

(Rotation display processing)
Details of the rotation display process of S104 illustrated in FIG. 8A will be described with reference to the flowchart illustrated in FIG. 8C. In the rotation display process illustrated in FIG. 8C, the character recognition support apparatus 20 displays a guide frame indicating an appropriate shooting position, for example, by superimposing it on the captured image of the form being processed. Then, the character recognition support device 20 superimposes a display component such as an arrow indicating the rotation direction on the captured image of the form being processed so that the captured image of the form in the image area rotates in the guide frame direction. indicate. A display component such as an arrow indicating the rotation direction corresponds to, for example, the rotation direction (clockwise or counterclockwise) of the captured image.

  The character recognition assisting device 20 uses display parts such as a guide frame indicating an appropriate shooting position and an arrow indicating the rotation direction of the captured image of the form in the image area displayed superimposed on the captured image of the form being processed. Then, positioning support related to rotational movement is performed. The positioning support related to the rotational movement has been described with reference to FIG. 6E.

  In the flowchart illustrated in FIG. 8C, the character recognition support apparatus 20 determines that the flag information set in the “rotation flag” is “1”, for example (S121). For example, when the flag information set in the “rotation flag” is “1” (S121, “Y”), the character recognition support device 20 proceeds to the process of S122. In the process of S122, for example, the character recognition assisting apparatus 20 rotates the camera 14a or the like in the left direction (clockwise) so that the picked-up image of the form in the image area matches the guide frame. The display component is output to a display screen such as the LCD 15a.

  On the other hand, for example, when the flag information set in the “rotation flag” is not “1” (S121, “N”), the character recognition support apparatus 20 proceeds to the process of S123. In the process of S123, for example, the character recognition support apparatus 20 rotates the camera 14a or the like in the right direction (counterclockwise), and an arrow indicating the rotation direction so that the captured image of the form in the image area matches the guide frame. Are displayed on a display screen such as the LCD 15a.

(Front and back display processing)
With reference to the flowchart illustrated in FIG. 8D, details of the depth direction front-rear display processing in S106 illustrated in FIG. 8A will be described. In the front-and-rear display processing illustrated in FIG. 8D, the character recognition support device 20 displays a guide frame indicating an appropriate shooting position, for example, by superimposing it on the captured image of the form being processed. The character recognition support device 20 then processes a form such as an arrow indicating a moving direction in which the size of the captured image is enlarged or reduced so that the captured image of the form in the image area matches the guide frame. Are superimposed on the captured image. Display components such as an arrow indicating the movement direction correspond to, for example, an enlargement direction and a reduction direction of the size of the captured image.

  The character recognition support apparatus 20 displays a guide frame indicating an appropriate shooting position, an arrow indicating an enlargement / reduction direction of the captured image of the form within the image area, and the like that are displayed superimposed on the captured image of the form being processed. Positioning support related to back-and-forth movement in the depth direction is performed by the component. The positioning support related to the forward / backward movement in the depth direction has been described with reference to FIG. 6F.

  In the flowchart illustrated in FIG. 8D, the character recognition support apparatus 20 determines that the flag information set in the “front / rear flag” is “1”, for example (S131). For example, when the flag information set in the “front and back flag” is “1” (S131, “Y”), the character recognition support device 20 proceeds to the process of S132. In the processing of S132, for example, the character recognition support apparatus 20 moves the camera 14a or the like so as to approach the form, and an arrow indicating the movement direction so that the size of the captured image of the form in the image area is enlarged and matches the guide frame. Are displayed on a display screen such as an LCD 15a.

  On the other hand, for example, when the flag information set in the “front and back flag” is not “1” (S131, “N”), the character recognition support device 20 proceeds to the process of S133. In the process of S133, for example, the character recognition support apparatus 20 moves the camera 14a or the like away from the form, and an arrow indicating the moving direction so that the size of the captured image of the form in the image area is reduced and matches the guide frame. Are displayed on a display screen such as an LCD 15a.

(Distortion display processing)
Details of the distortion display processing for performing the distortion correction of S108 illustrated in FIG. 8A will be described with reference to the flowchart illustrated in FIG. 8E. In the distortion display processing illustrated in FIG. 8E, the character recognition support device 20 displays a guide frame indicating an appropriate shooting position, for example, by superimposing the captured image on the form being processed. Then, the character recognition support device 20 captures the form being processed, for example, a display component such as an arrow indicating a moving direction for correcting the distortion of the captured image so that the captured image of the form in the image area matches the guide frame. Display it superimposed on the image. A display component such as an arrow indicating the moving direction corresponds to, for example, a moving direction that eliminates left-right distortion and vertical distortion of the captured image.

  In the character recognition assisting device 20, distortion is caused by display parts such as a guide frame indicating an appropriate shooting position and an arrow indicating a moving direction for correcting distortion of the captured image displayed superimposed on the captured image of the form being processed. Positioning support for correction is performed. The positioning support related to distortion correction has been described with reference to FIG. 6G.

  In the flowchart illustrated in FIG. 8E, for example, the character recognition support apparatus 20 determines that the flag information set in the “distortion flag” is “1” (S141). For example, when the flag information set in the “distortion flag” is “1” (S141, “Y”), the character recognition support device 20 proceeds to the process of S142.

  In the process of S142, for example, the character recognition support apparatus 20 moves the camera 14a and the like backward in the depth so as to reduce the upper edge of the captured image including the partial images of “character string 1” and “character string 2”. Display parts such as arrows. For example, the character recognition assisting apparatus 20 captures a display component such as an arrow indicating the moving direction of the captured image of the form in the image area so that the captured image of the form in the image area matches the guide frame. The image is superimposed on the image and output to a display screen such as the LCD 15a.

  On the other hand, for example, when the flag information set in the “distortion flag” is not “1” (S141, “N”), the character recognition support apparatus 20 proceeds to the processing of S143 and sets it as the “distortion flag”. It is determined that the flag information is “2”. For example, when the flag information set in the “distortion flag” is “2” (S143, “Y”), the character recognition support device 20 proceeds to the process of S144.

  In the process of S144, for example, the character recognition support apparatus 20 moves the camera 14a and the like in the forward direction so as to enlarge the upper edge of the captured image including the partial images of “character string 1” and “character string 2”. Display parts such as arrows. For example, the character recognition assisting apparatus 20 captures a display component such as an arrow indicating the moving direction of the captured image of the form in the image area so that the captured image of the form in the image area matches the guide frame. The image is superimposed on the image and output to a display screen such as the LCD 15a.

  On the other hand, for example, when the flag information set in the “distortion flag” is not “2” (S143, “N”), the character recognition support apparatus 20 proceeds to the processing of S145 and sets it as the “distortion flag”. It is determined that the flag information is “3”. For example, when the flag information set in the “distortion flag” is “3” (S145, “Y”), the character recognition support apparatus 20 proceeds to the process of S146.

  In the processing of S146, for example, the character recognition support device 20 moves the camera 14a and the like backward in the depth so as to reduce the left edge of the captured image including the partial images of “character string 1” and “character string 3”. Display parts such as arrows. For example, the character recognition assisting apparatus 20 captures a display component such as an arrow indicating the moving direction of the captured image of the form in the image area so that the captured image of the form in the image area matches the guide frame. The image is superimposed on the image and output to a display screen such as the LCD 15a.

  On the other hand, for example, when the flag information set in the “distortion flag” is not “3” (S145, “N”), the character recognition support apparatus 20 proceeds to the process of S147. In the process of S147, for example, the character recognition support apparatus 20 moves the camera 14a and the like in the forward direction so as to enlarge the left edge of the captured image including the partial images of “character string 1” and “character string 3”. Display parts such as arrows. For example, the character recognition assisting apparatus 20 captures a display component such as an arrow indicating the moving direction of the captured image of the form in the image area so that the captured image of the form in the image area matches the guide frame. The image is superimposed on the image and output to a display screen such as the LCD 15a.

  As described above, the character recognition support apparatus 20 according to the present embodiment stores the “character string” recognized in the evaluation area at two or more corners, and the “evaluation character string” corresponding to the evaluation area. Based on the positional relationship, positioning support for the captured image of the form being shot can be performed. In the positioning support of the character recognition support device 20, for example, a guide frame indicating an appropriate shooting position in the image area is displayed so as to be superimposed on the captured image of the form being shot. In the positioning support of the character recognition support device 20, an instruction component (display component) such as an arrow indicating the moving direction of the captured image of the form being captured in the image area is displayed together with the guide frame. The character recognition assisting device 20 is photographing a pointing frame such as an arrow indicating a moving direction of a captured image of a form being photographed in a guide frame and an image region within the image area. It can be displayed superimposed on the captured image of the form. As a result, in the character recognition support device 20 of the present embodiment, whether or not characters can be recognized on at least one of the plurality of axes indicating the posture of the form being photographed is displayed in a manner that the user can identify. be able to. In the character recognition support device 20 of the present embodiment, for example, positioning support for obtaining a captured image that can correctly recognize a character before the captured image is confirmed can be realized.

The character recognition support device 20 of the present embodiment has a positional relationship between the centroid of the “character string” recognized in the evaluation area at two or more corners and the centroid of the “evaluation character string” corresponding to the evaluation area. It can be determined that the relations of equations (4)-(7), (6a)-(7a) are satisfied. For this reason, the character recognition support apparatus 20 can determine the translational movement in the vertical and horizontal directions within the image area for the captured image of the form being captured based on the determination result. For example, when the vertical direction is the Y-axis direction and the horizontal direction is the X-axis direction, the translational movement of the captured image of the form within the image area indicates the posture of the form 2
This corresponds to the movement direction about the axis (X, Y).

  In addition, the character recognition support device 20 according to the present embodiment calculates the angle between the overall centroid position of the “character string” recognized in the evaluation area at two or more corners and the centroid position for each “character string”. be able to. Similarly, the character recognition assisting device 20 calculates an angle between the overall center position of the “evaluation character string” corresponding to the evaluation areas at two or more corners recognized by the character and the center position of each “evaluation character string”. can do. The character recognition assisting device 20 confirms that the relationship between the angle group calculated for each “character string” and the angle group calculated for each “evaluation character string” satisfies the relationships of Expressions (10) and (10a). Can be judged. For this reason, the character recognition assisting apparatus 20 can determine the clockwise and counterclockwise rotational movement of the captured image of the form being shot in the image area based on the determination result. For example, when the vertical direction is the Y-axis direction, the horizontal direction is the X-axis direction, and the depth direction is the Z-axis direction, the rotational movement of the captured image of the form in the image area is on the XY plane centered on the Z-axis direction. It corresponds to the moving direction.

  In addition, the character recognition assisting apparatus 20 according to the present embodiment calculates the distance between the overall centroid position of the “character string” recognized in the evaluation area at two or more corners and the centroid position for each “character string”. be able to. Similarly, the character recognition support device 20 calculates the distance between the overall center of gravity position of the “evaluation character string” corresponding to the evaluation areas at two or more corners recognized by the character and the center of gravity position of each “evaluation character string”. can do. The character recognition assisting device 20 confirms that the relationship between the distance group calculated for each “character string” and the distance group calculated for each “evaluation character string” satisfies the relationships of Expressions (11) and (11a). Can be judged. For this reason, the character recognition assisting apparatus 20 can determine the moving direction in which the image size in the image area is enlarged and the moving direction in which the image is reduced in the image area based on the determination result. For example, when the vertical direction is the Y-axis direction, the horizontal direction is the X-axis direction, and the depth direction is the Z-axis direction, the forward / backward movement in the depth direction for enlarging / reducing the image size of the form in the image area It corresponds to the moving direction.

  Further, the character recognition support apparatus 20 of the present embodiment determines the distance “C” between “character string 1” and “character string 2” from the center of gravity position of each “character string” recognized in the evaluation area at three or more corners. The distance “C′13” between “12”, “character string 1” and “character string 3” can be calculated. “Character string 1” and “Character string 2” are, for example, the two corners of the upper edge of the captured image, and “Character string 1” and “Character string 3” are 2 on the left edge of the captured image. It is a corner.

  Similarly, the character recognition support device 20 determines “evaluation character string 1” and “evaluation character string 2” from the center of gravity position of each “evaluation character string 1” corresponding to the evaluation areas of three or more corners recognized by the character. Distance “C12” and the distance “C13” of the distance between “evaluation character string 1” and “evaluation character string 3” can be calculated.

  Then, the character recognition support device 20 determines the distance ratio (C′12 / C12) between the distance “C′12” and the distance “C12” and the distance ratio between the distance “C′13” and the distance “C13” ( C'13 / C13) can be obtained. The character recognition assisting device 20 can determine that the relationship between the distance ratio (C′12 / C12) and the distance ratio (C′13 / C13) satisfies the relationships of the equations (12) and (13). For this reason, the character recognition assisting apparatus 20 determines, based on the determination result, the correction direction in which the size of the left edge side is reduced and the correction direction in which the left edge side of the captured image of the form being shot in the image area is enlarged. Can do. Further, the character recognition support device 20 can determine the correction direction in which the size of the upper edge side is reduced and the correction direction in which the size of the upper edge side is reduced in the captured image of the form being shot in the image area based on the determination result. it can.

For example, when the vertical direction is the Y-axis direction, the horizontal direction is the X-axis direction, and the depth direction is the Z-axis direction, the correction movement for enlarging / reducing the size of the left edge of the captured image of the form in the image area is: This corresponds to rotational movement in the ZX plane around the Y-axis direction. Similarly, the correction movement for enlarging / reducing the size of the upper edge of the captured image of the form in the image area corresponds to the rotational movement in the YZ plane with the X axis direction as the center.

<Computer-readable recording medium>
A program for causing a computer or other machine or device (hereinafter, a computer or the like) to realize any of the above functions can be recorded on a recording medium that can be read by the computer or the like. Then, the function can be provided by causing the computer or the like to read and execute the program of the recording medium.

  Here, a computer-readable recording medium is a recording medium that stores information such as data and programs by electrical, magnetic, optical, mechanical, or chemical action and can be read from a computer or the like. Say. Examples of such a recording medium that can be removed from a computer or the like include a flexible disk, a magneto-optical disk, a CD-ROM, a CD-R / W, a DVD, a Blu-ray disk, a DAT, an 8 mm tape, a flash memory, and the like. There are cards. Moreover, there are a hard disk, a ROM, and the like as a recording medium fixed to a computer or the like.

<Others>
The above embodiment further includes an aspect called the following supplementary note. The components included in the following supplementary notes can be combined with the constituents included in the other supplementary notes.
(Appendix 1)
Means for accepting a captured image including a rectangular recognition target object to be character recognition;
Means for specifying predetermined areas at three or more corners in a captured image including the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Means for performing character recognition on a partial image in the predetermined region, and determining a relationship between a character string recognized in the predetermined region and the evaluation character string in the recognition object;
Display control means for displaying whether or not characters can be recognized on at least one of the plurality of axes indicating the orientation of the rectangular recognition target body from the relationship;
A character recognition support device.
(Appendix 2)
Based on the positional relationship between the coordinate information of the evaluation character string and the character string recognized in the predetermined area corresponding to the evaluation character string, the correction movement with respect to the appropriate shooting position of the captured image of the recognition object Correction movement determining means for determining whether or not it is necessary,
The display control means displays the correction direction of the photographing posture with respect to the recognition target object, superimposed on the captured image of the recognition target object, based on the necessity of the correction movement determined by the correction movement determination means. The character recognition support device according to appendix 1.
(Appendix 3)
The correction movement determination means includes a center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners, and a combination including two or more evaluation character strings corresponding to the predetermined area The character recognition support device according to appendix 2, wherein it is determined whether or not a translational movement in any one of up, down, left, and right directions is required for a captured image of the recognition target object based on a positional relationship with a center of gravity of the region.
(Appendix 4)
The correction movement determination means includes an angle from the centroid of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners to the centroid direction of each character string recognized. Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the angle from the centroid direction of each evaluation character string to the captured image of the recognition target object, 4. The character recognition support device according to appendix 2 or 3, which determines whether or not a counterclockwise rotational movement is necessary.
(Appendix 5)
The correction movement determination means includes a distance between a center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners, and a center of gravity for each character string recognized. Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the centroid of each evaluation character string, the enlargement direction of the image size of the captured image of the recognition object or The character recognition support device according to any one of supplementary notes 2 to 4, which determines whether movement in the reduction direction is necessary.
(Appendix 6)
The correction movement determination means includes a distance between first character strings between a first character string and a second character string recognized from a partial image in a predetermined area at three or more corners, and a first distance corresponding to the predetermined area. A first distance ratio between the first evaluation character string and the first evaluation character string distance between the first evaluation character string and the second evaluation character string, and a second inter-character string distance between the first character string and the third character string; , Based on the relative relationship of the second distance ratio between the second evaluation character string distance between the first evaluation character string and the third evaluation character string corresponding to the predetermined region, The character recognition support device according to any one of appendices 2 to 5, which determines whether or not a movement for correcting distortion in any one of the upper, lower, left, and right directions of the captured image of the recognition object is required.
(Appendix 7)
On the computer,
Receiving a captured image including a rectangular recognition target object for character recognition;
Identifying predetermined areas at three or more corners in a captured image including the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Performing character recognition on the partial image in the predetermined area, and determining a relationship between the character string recognized in the predetermined area and the evaluation character string in the recognition object;
A display control step for displaying whether or not characters can be recognized for at least one of the plurality of axes indicating the posture of the rectangular recognition target body from the relationship;
Character recognition support program for running.
(Appendix 8)
Based on the positional relationship between the coordinate information of the evaluation character string and the character string that has been character-recognized in the predetermined area corresponding to the evaluation character string, A correction movement determination step for determining whether or not an axial correction movement is necessary,
In the display control step, based on the necessity of correction movement in a plurality of axial directions determined in the correction movement determining step, the display posture is superimposed on the captured image of the recognition target object, and the photographing posture with respect to the recognition target object is corrected. The character recognition support program according to appendix 7, which displays a direction.
(Appendix 9)
The correction movement determination step includes a center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners, and a combination including two or more evaluation character strings corresponding to the predetermined area The character recognition support program according to appendix 8, wherein it is determined whether or not a translational movement in any one of up, down, left, and right directions is required for the captured image of the recognition target object based on a positional relationship with the center of gravity of the region.
(Appendix 10)
The correction movement determining step includes an angle from the center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners to the direction of the center of gravity for each character string recognized. Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the angle from the centroid direction of each evaluation character string to the captured image of the recognition target object, The character recognition support program according to appendix 8 or 9, wherein the necessity for counterclockwise rotational movement is determined.
(Appendix 11)
The correction movement determining step includes a distance between a center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners and a center of gravity for each character string recognized; and Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the centroid of each evaluation character string, the enlargement direction of the image size of the captured image of the recognition object or The character recognition support program according to any one of supplementary notes 8 to 10, which determines whether movement in the reduction direction is necessary.
(Appendix 12)
The correction movement determining step includes a distance between first character strings between a first character string and a second character string recognized from a partial image in a predetermined area at three or more corners, and a first distance corresponding to the predetermined area. A first distance ratio between the first evaluation character string and the first evaluation character string distance between the first evaluation character string and the second evaluation character string, and a second inter-character string distance between the first character string and the third character string; , Based on the relative relationship of the second distance ratio between the second evaluation character string distance between the first evaluation character string and the third evaluation character string corresponding to the predetermined region, The character recognition support program according to any one of appendices 8 to 11, which determines whether it is necessary to move to correct distortion in any one of the upper, lower, left, and right directions of the captured image of the recognition target object.
(Appendix 13)
Computer
Receiving a captured image including a rectangular recognition target object for character recognition;
Identifying predetermined areas at three or more corners in a captured image of the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Performing character recognition on the partial image in the predetermined area, and determining a relationship between the character string recognized in the predetermined area and the evaluation character string in the recognition object;
A display control step for displaying whether or not characters can be recognized for at least one of the plurality of axes indicating the posture of the rectangular recognition target body from the relationship;
Character recognition support method to execute.
(Appendix 14)
Based on the positional relationship between the coordinate information of the evaluation character string and the character string that has been character-recognized in the predetermined area corresponding to the evaluation character string, A correction movement determination step for determining whether or not an axial correction movement is necessary,
In the display control step, based on the necessity of correction movement in a plurality of axial directions determined in the correction movement determining step, the display posture is superimposed on the captured image of the recognition target object, and the photographing posture with respect to the recognition target object is corrected. The character recognition support method according to attachment 13, wherein the direction is displayed.
(Appendix 15)
The correction movement determination step includes a center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners, and a combination including two or more evaluation character strings corresponding to the predetermined area 15. The character recognition support method according to appendix 14, wherein it is determined whether or not a translational movement is required in any one of up, down, left, and right directions with respect to a captured image of the recognition target object based on a positional relationship with the center of gravity of the region.
(Appendix 16)
The correction movement determining step includes an angle from the center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners to the direction of the center of gravity for each character string recognized. Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the angle from the centroid direction of each evaluation character string to the captured image of the recognition target object, 16. The character recognition support method according to appendix 14 or 15, wherein it is determined whether or not a counterclockwise rotational movement is necessary.
(Appendix 17)
The correction movement determining step includes a distance between a center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners and a center of gravity for each character string recognized; and Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the centroid of each evaluation character string, the enlargement direction of the image size of the captured image of the recognition object or The character recognition support method according to any one of supplementary notes 14 to 16, wherein the necessity of movement in the reduction direction is determined.
(Appendix 18)
The correction movement determining step includes a distance between first character strings between a first character string and a second character string recognized from a partial image in a predetermined area at three or more corners, and a first distance corresponding to the predetermined area. A first distance ratio between the first evaluation character string and the first evaluation character string distance between the first evaluation character string and the second evaluation character string, and a second inter-character string distance between the first character string and the third character string; , Based on the relative relationship of the second distance ratio between the second evaluation character string distance between the first evaluation character string and the third evaluation character string corresponding to the predetermined region, 18. The character recognition support method according to any one of supplementary notes 14 to 17, wherein it is determined whether or not a movement for correcting distortion in any one of the upper, lower, left, and right directions of the captured image of the recognition target object is required.

10, 20 Character recognition support device 11 CPU
12 Main storage unit 13 Auxiliary storage unit 14 Input unit 14a Camera 15 Output unit 15a LCD
16 Communication unit 101, 210 Image quality evaluation unit 102, 213 Detection data processing unit 201 Evaluation character string DB
211 Form status estimation unit 212 Status display unit

Claims (8)

Means for accepting a captured image including a rectangular recognition target object to be character recognition;
Means for specifying predetermined areas at three or more corners in a captured image including the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Means for performing character recognition on a partial image in the predetermined region, and determining a relationship between a character string recognized in the predetermined region and the evaluation character string in the recognition object;
Display control means for displaying whether or not characters can be recognized on at least one of the plurality of axes indicating the orientation of the rectangular recognition target body from the relationship;
A character recognition support device. Based on the positional relationship between the coordinate information of the evaluation character string and the character string that has been character-recognized in the predetermined area corresponding to the evaluation character string, Correction movement determining means for determining whether or not axial correction movement is necessary,
The display control unit corrects a shooting posture with respect to the recognition target object by superimposing the captured image on the recognition target object based on whether or not a plurality of correction movements in the axial direction determined by the correction movement determination unit are necessary. The character recognition support device according to claim 1, wherein the direction is displayed.   The correction movement determination means includes a center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners, and a combination including two or more evaluation character strings corresponding to the predetermined area The character recognition support device according to claim 2, wherein the necessity of translational movement in any one of up, down, left, and right directions with respect to the captured image of the recognition object is determined based on a positional relationship with the center of gravity of the region.   The correction movement determination means includes an angle from the centroid of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners to the centroid direction of each character string recognized. Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the angle from the centroid direction of each evaluation character string to the captured image of the recognition target object, The character recognition support device according to claim 2 or 3, wherein it is determined whether or not a counterclockwise rotational movement is necessary.   The correction movement determination means includes a distance between a center of gravity of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners, and a center of gravity for each character string recognized. Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the centroid of each evaluation character string, the enlargement direction of the image size of the captured image of the recognition object or The character recognition support device according to any one of claims 2 to 4, wherein it is determined whether or not movement in the reduction direction is necessary.   The correction movement determination means includes a distance between first character strings between a first character string and a second character string recognized from a partial image in a predetermined area at three or more corners, and a first distance corresponding to the predetermined area. A first distance ratio between the first evaluation character string and the first evaluation character string distance between the first evaluation character string and the second evaluation character string, and a second inter-character string distance between the first character string and the third character string; , Based on the relative relationship of the second distance ratio between the second evaluation character string distance between the first evaluation character string and the third evaluation character string corresponding to the predetermined region, The character recognition support device according to any one of claims 2 to 5, wherein it is determined whether or not a movement for correcting distortion in any one of the upper, lower, left, and right directions of the captured image of the recognition object is required. On the computer,
Receiving a captured image including a rectangular recognition target object for character recognition;
Identifying predetermined areas at three or more corners in a captured image including the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Performing character recognition on the partial image in the predetermined area, and determining a relationship between the character string recognized in the predetermined area and the evaluation character string in the recognition object;
A display control step for displaying whether or not characters can be recognized for at least one of the plurality of axes indicating the posture of the rectangular recognition target body from the relationship;
Character recognition support program for running. Computer
Receiving a captured image including a rectangular recognition target object for character recognition;
Identifying predetermined areas at three or more corners in a captured image of the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Performing character recognition on the partial image in the predetermined area, and determining a relationship between the character string recognized in the predetermined area and the evaluation character string in the recognition object;
A display control step for displaying whether or not characters can be recognized for at least one of the plurality of axes indicating the posture of the rectangular recognition target body from the relationship;
Character recognition support method to execute.

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