JP2017102526A - Information processing device and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device for setting a document type attribute with a writing frame attribute having already been attached thereto as a selected writing frame attribute or a candidate for an attribute.SOLUTION: Selection means of the information processing device selects a writing frame on a document type, extraction means extracts a feature of the document type and a feature of the selected writing frame, extraction means extracts a document type similar to the feature from the document type with an attribute of a writing frame having already been attached thereto, and setting means sets an attribute attached to a writing frame in the document type extracted by the extraction means as an attribute of the writing frame selected by the selection means or a candidate for an attribute.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing apparatus and an information processing program.

  Patent Document 1 has an object to reduce the burden on the user when creating the form definition data, and the form processing apparatus extracts the layout information for the area specified by the user and item names related to the specified area. By extracting this information and converting this information into definition data, form definition data is created automatically. By doing this, the definition data is created automatically just by specifying only the definition position. It is disclosed that the burden of setting the form definition data can be reduced.

JP 2004-258706 A

For setting the attributes of the writing frame in the form, for example, in the technique described in Patent Document 1, character information inside or around the designated reading area is recognized from the image data, and the recognition result is used. The attribute that is the definition data is automatically created.
However, when an attribute is automatically created from the recognition result of character information, an incorrect attribute is automatically created every time when an incorrect recognition result is obtained. On the other hand, the document types to which the attribute of the writing frame has already been added have been accumulated, and the correct attribute has been assigned to them.
It is an object of the present invention to provide an information processing apparatus and an information processing program that set a document type attribute to which a writing frame attribute has already been assigned as a selected writing frame attribute or an attribute candidate. Yes.

The gist of the present invention for achieving the object lies in the inventions of the following items.
According to the first aspect of the present invention, selection means for selecting a writing frame on a document type, extraction means for extracting the characteristics of the document type and the selected writing frame, and an attribute of the writing frame have already been assigned. An extraction unit that extracts a document type similar to the feature from the document type, and an attribute assigned to the writing frame in the document type extracted by the extraction unit is the attribute of the writing frame selected by the selection unit or The information processing apparatus includes setting means for setting as attribute candidates.

  In the invention of claim 2, when the document type is an image, the extraction means displays the feature of the image processing result of the document type or the recognition result of the characters inside or around the selected writing frame. The information processing apparatus according to claim 1, wherein the information processing apparatus is extracted as a document type feature.

  According to a third aspect of the present invention, the setting means uses the attribute given to the writing frame in the document type extracted by the extracting means as a plurality of writing frame attributes or attribute candidates in the target document type. The information processing apparatus according to claim 1, wherein the information processing apparatus is set.

  According to a fourth aspect of the present invention, when the document type cannot be extracted by the extracting unit, the setting unit sets the attribute of the writing frame according to an operation of the operator. The information processing apparatus according to the item.

  According to the invention of claim 5, the computer has a selecting means for selecting a writing frame on a document type, an extracting means for extracting the characteristics of the document type and the selected writing frame, and the attributes of the writing frame are already An extraction means for extracting a document type similar to the feature from the assigned document type, and a writing frame selected by the selection means for an attribute assigned to the writing frame in the document type extracted by the extraction means It is an information processing program for functioning as setting means for setting as an attribute or an attribute candidate.

  According to the information processing apparatus of the first aspect, the document type attribute to which the attribute of the writing frame has already been assigned can be set as the selected writing frame attribute or the attribute candidate.

  According to the information processing apparatus of claim 2, when the document type is an image, the feature of the image processing result of the document type or the recognition result of the character inside or around the selected writing frame is obtained from the document type. It can be extracted as a feature.

  According to the information processing apparatus of the third aspect, not only the selected writing frame but also a plurality of writing frame attributes or attribute candidates in the target document type can be set.

  According to the information processing apparatus of the fourth aspect, when the document type cannot be extracted, the attribute of the writing frame can be set according to the operation of the operator.

  According to the information processing program of the fifth aspect, it is possible to set the attribute of the document type to which the attribute of the writing frame has already been given as the selected writing frame attribute or the attribute candidate.

It is a conceptual module block diagram about the structural example of 1st Embodiment. It is explanatory drawing which shows the system configuration example using this Embodiment. It is a flowchart which shows the process example by 1st Embodiment. It is explanatory drawing which shows the example of the process target by 1st Embodiment. It is explanatory drawing which shows the process example by 1st Embodiment. It is explanatory drawing which shows the process example by 1st Embodiment. It is explanatory drawing which shows the data structure example of a form table. It is explanatory drawing which shows the example of a data structure of a writing frame table. It is a conceptual module block diagram about the structural example of 2nd Embodiment. It is a flowchart which shows the process example by 2nd Embodiment. It is a block diagram which shows the hardware structural example of the computer which implement | achieves this Embodiment.

Hereinafter, examples of various preferred embodiments for realizing the present invention will be described with reference to the drawings.
<First Embodiment>
FIG. 1 is a conceptual module configuration diagram of a configuration example according to the first embodiment.
The module generally refers to components such as software (computer program) and hardware that can be logically separated. Therefore, the module in the present embodiment indicates not only a module in a computer program but also a module in a hardware configuration. Therefore, the present embodiment is a computer program for causing these modules to function (a program for causing a computer to execute each procedure, a program for causing a computer to function as each means, and a function for each computer. This also serves as an explanation of the program and system and method for realizing the above. However, for the sake of explanation, the words “store”, “store”, and equivalents thereof are used. However, when the embodiment is a computer program, these words are stored in a storage device or stored in memory. This means that control is performed so as to be stored in the apparatus. Modules may correspond to functions one-to-one, but in mounting, one module may be configured by one program, or a plurality of modules may be configured by one program, and conversely, one module May be composed of a plurality of programs. The plurality of modules may be executed by one computer, or one module may be executed by a plurality of computers in a distributed or parallel environment. Note that one module may include other modules. Hereinafter, “connection” is used not only for physical connection but also for logical connection (data exchange, instruction, reference relationship between data, etc.). “Predetermined” means that the process is determined before the target process, and not only before the process according to this embodiment starts but also after the process according to this embodiment starts. Also, if it is before the target processing, it is used in accordance with the situation / status at that time or with the intention to be decided according to the status / status up to that point. When there are a plurality of “predetermined values”, they may be different values, or two or more values (of course, including all values) may be the same. In addition, the description having the meaning of “do B when it is A” is used in the meaning of “determine whether or not it is A and do B when it is judged as A”. However, the case where it is not necessary to determine whether or not A is excluded.
In addition, the system or device is configured by connecting a plurality of computers, hardware, devices, and the like by communication means such as a network (including one-to-one correspondence communication connection), etc., and one computer, hardware, device. The case where it implement | achieves by etc. is included. “Apparatus” and “system” are used as synonymous terms. Of course, the “system” does not include a social “mechanism” (social system) that is an artificial arrangement.
In addition, when performing a plurality of processes in each module or in each module, the target information is read from the storage device for each process, and the processing result is written to the storage device after performing the processing. is there. Therefore, description of reading from the storage device before processing and writing to the storage device after processing may be omitted. Here, the storage device may include a hard disk, a RAM (Random Access Memory), an external storage medium, a storage device via a communication line, a register in a CPU (Central Processing Unit), and the like.

  The information processing apparatus 100 according to the first embodiment sets a writing frame attribute (hereinafter also referred to as a property) on a document type. As shown in the example of FIG. A writing frame selection module 115, a form feature extraction module 120, a writing frame feature extraction module 125, a form information storage module 130, a similar form extraction module 135, a writing frame property acquisition module 140, a writing frame property setting module 145, and an output module 150. Have. Here, the document type is a document that has a writing frame that is an area in which a user can write by handwriting and has not been filled in yet. For example, a type such as a document, a form, and a slip (also referred to as a form, a form, a format, a template, etc., hereinafter also referred to as a form) is applicable. The writing frame is generally an area composed of a rectangular (including square) frame, but is an area composed of an underline indicating that handwritten characters can be entered. There may be. In addition, as characters to be entered, there are characters, symbols (check marks, etc.), signatures, marks (stamps), and the like. Further, the target document type here may be image data obtained by reading a form with a scanner or the like, or may be document data created by a document creation application (program).

  The form acquisition module 110 is connected to the form feature extraction module 120 and the writing frame property setting module 145. The form acquisition module 110 acquires a document type. The document type is acquired by, for example, reading document type image data with a scanner, camera, etc., receiving document type image data from an external device via a communication line with a fax machine, etc., or a hard disk (built in a computer). In addition to those stored in a network (including those connected via a network) and the like. The image data may be a binary image or a multi-value image (including a color image). One image may be received or a plurality of images may be received.

  The writing frame selection module 115 is connected to the writing frame feature extraction module 125. The writing frame selection module 115 selects a writing frame on the document type. For example, a writing frame may be formed by a user's operation of a mouse or the like, or a writing frame on a document type may be selected. When the document type is image data, an operation for forming a writing frame may be accepted. When the document type is document data, an operation for selecting a writing frame may be accepted. Furthermore, even when the document type is image data, an operation for recognizing a writing frame in the image data and selecting the writing frame may be accepted. As the recognition of the writing frame, for example, a conventional technique such as extracting a rectangle composed of a line segment having a predetermined length or more may be used.

The form feature extraction module 120 is connected to the form acquisition module 110 and the similar form extraction module 135. The form feature extraction module 120 extracts document type features acquired by the form acquisition module 110. For example, when the document type is image data, the form feature extraction module 120 displays the feature of the image processing result of the document type or the recognition result of characters inside or around the writing frame selected by the writing frame selection module 115. Alternatively, it may be extracted as a feature of the document type. Examples of image processing include line segment extraction and pixel block extraction. Further, the pixel block includes at least a pixel region that is continuous in four or eight connections, and includes a set of these pixel regions. The set of these pixel areas means that there are a plurality of continuous pixel areas such as 4-connected, and the plurality of pixel areas are in the vicinity. Here, what is in the vicinity is, for example, an image area in which the pixel areas are close to each other in distance, an image area that is projected vertically or horizontally so as to cut out one character at a time from a line as a sentence, and cut out at a blank spot Or an image region cut out at regular intervals. In many cases, an image of one character is formed as one pixel block. However, it is not necessary that the pixel area is actually recognizable as a character by humans. There are a part of a character, a pixel region that does not form a character, and the like, and any pixel block may be used. As the characteristics of the image processing result, for example, the number of line segments of the image (document type), the distribution of the line segments, the number of frames (may include frames other than the writing frame), the distribution of the frames, and the pixel block And the distribution of the pixel block.
Further, character recognition may be performed on the inside or the periphery of the writing frame selected by the writing frame selection module 115. As a result of the recognition, there is a possibility that an erroneous character is included, but correction may be unnecessary. Since it is a recognition result as a document type feature, if a predetermined character recognition process (a character recognition processing device, a character recognition processing algorithm, etc.) is performed, an erroneous recognition result may be included. .
For example, when the document type is document data, there are character data such as a title, the number of frames, the distribution of the frames, and the like.

  The writing frame feature extraction module 125 is connected to the writing frame selection module 115 and the similar form extraction module 135. The writing frame feature extraction module 125 extracts the feature of the writing frame selected by the writing frame selection module 115. Here, as the characteristics of the writing frame, for example, the position of the writing frame (for example, coordinates of the upper left corner), size (width, height, area, etc.), shape (ratio of width to height, etc.), border line There are types (solid line, dotted line, alternate long and short dash line, etc.), relationship with surrounding writing frames (number of writing frames in contact with each of the upper, lower, left, and right sides).

  The form information storage module 130 is connected to the similar form extraction module 135. The form information storage module 130 has already stored a document type with a writing frame attribute. Attributes are set for the writing frame of the document type. The attribute here only needs to include information for increasing the recognition rate in the recognition process of the characters entered in the writing frame. Specifically, the type of characters entered in the writing frame (for example, numbers, English letters, katakana, hiragana, kanji, general characters (mixtures thereof), etc.), the type of recognition dictionary (for example, for numbers) Dictionary, English dictionary, name dictionary, telephone number dictionary, company name dictionary, address dictionary, etc.). For example, when a character type is specified, feature extraction, recognition algorithm, and the like can be set according to the type. Further, when the type of the recognition dictionary is specified, the recognition rate can be improved as compared with the case of using a general recognition dictionary. In addition, a dictionary used in grammar processing as post-recognition processing may be included as an attribute.

The similar form extraction module 135 is connected to the form feature extraction module 120, the writing frame feature extraction module 125, the form information storage module 130, and the writing frame property acquisition module 140. The similar form extraction module 135 is a feature similar to the feature extracted by the form feature extraction module 120 and the writing frame feature extraction module 125 from the document type already given the attribute of the writing frame stored in the form information storage module 130. Extract document types that have There may be a plurality of document types to be extracted. Also, similar here means that the distance between the two in the feature space (the document type in question and the document type in the form information storage module 130) is less than or less than a predetermined threshold, or When arranged in ascending order by distance, it is within a predetermined rank (when the predetermined rank is first, it indicates the most similar). Of course, similarities include matching.
Further, not only the document type but also a writing frame similar to the target writing frame may be extracted.

The writing frame property acquisition module 140 is connected to the similar form extraction module 135 and the writing frame property setting module 145. The writing frame property acquisition module 140 extracts the attribute given to the writing frame in the document type extracted by the similar form extraction module 135. Here, the writing frame is a writing frame corresponding to the target writing frame.
The writing frame property setting module 145 is connected to the form acquisition module 110, the writing frame property acquisition module 140, and the output module 150. The writing frame property setting module 145 sets the attribute given to the writing frame in the document type extracted by the similar form extraction module 135 as the attribute of the writing frame selected by the writing frame selection module 115 or a candidate for the attribute. . Specifically, the attribute acquired by the writing frame property acquisition module 140 is set as an attribute of the writing frame selected by the writing frame selection module 115 or an attribute candidate.
In addition, the writing frame property setting module 145 uses the attributes assigned to the writing frame in the document type extracted by the similar form extraction module 135 as the attributes or candidate attributes of the plurality of writing frames in the target document type. You may make it set. In other words, not only the writing frame attributes or attribute candidates selected by the writing frame selection module 115 but also other writing frame attributes or attribute candidates are extracted by the similar form extraction module 135. Is set by using.
The output module 150 is connected to the writing frame property setting module 145. The output module 150 outputs the writing frame attribute or attribute candidate set by the writing frame property setting module 145. To output here includes, for example, writing to a storage device such as a document type database, storing to a storage medium such as a memory card, and passing to another information processing device (for example, a recognition device). Further, printing with a printing device such as a printer, display on a display device such as a liquid crystal display, and the like may be included. In particular, when an attribute candidate is set, the attribute candidate may be displayed on the display device in a selectable manner so that the user can select the attribute and determine the attribute.

FIG. 2 is an explanatory diagram showing a system configuration example using the present embodiment.
The system configuration example shown in FIG. 2A includes an image reading device 210, a form generation processing device 220, an information processing device 100, and a character recognition device 230.
The image reading device 210 is connected to the information processing device 100. The image reading apparatus 210 reads the form with a scanner or the like and passes it to the information processing apparatus 100.
The form generation processing device 220 is connected to the information processing device 100. The form generation processing device 220 creates a form using a document creation application according to the operation of the operator, and passes it to the information processing device 100.
The information processing apparatus 100 is connected to an image reading apparatus 210, a form generation processing apparatus 220, and a character recognition apparatus 230. For the form received from the image reading device 210 or the form generation processing device 220, the attribute of the writing frame in the form is set.
The character recognition device 230 is connected to the information processing device 100. The character recognition device 230 reads an image of a document using the form (that is, a document in which handwritten characters are written in a writing frame), and recognizes characters in the writing frame.

  In the system configuration example shown in FIG. 2B, the information processing device 100, the image reading device 210a, the image reading device 210b, the form generation processing device 220a, the form generation processing device 220b, the character recognition device 230, the image reading / character recognition device. 250 are connected to each other via a communication line 290. The communication line 290 may be wireless, wired, or a combination thereof, and may be, for example, the Internet or an intranet as a communication infrastructure. The functions of the information processing apparatus 100 and the character recognition apparatus 230 may be realized as a cloud service. A plurality of image reading devices 210 (image reading device 210a and image reading device 210b in the example of FIG. 2B), a plurality of form generation processing devices 220 (form generation processing device 220a in the example of FIG. 2B), The form generation processing device 220b) uses the information processing device 100 and the character recognition device 230. The image reading / character recognition device 250 has a function as a scanner of the image reading device 210 and a function of the character recognition device 230. The image reading / character recognition device 250 reads a form, reads a completed document, and performs character recognition processing. Is to do.

FIG. 3 is a flowchart illustrating a processing example according to the first exemplary embodiment.
In step S302, the form acquisition module 110 acquires a form.
In step S304, the writing frame selection module 115 selects a writing frame. For example, the operator selects a writing frame for which an attribute is to be defined, and the writing frame selection module 115 accepts the selection operation.
In step S306, the form feature extraction module 120 extracts form features.
In step S308, the writing frame feature extraction module 125 extracts the writing frame features (for example, position / width / height).
In step S310, the similar form extraction module 135 selects a similar form from the form information storage module 130 based on the feature of the form and the feature of the writing frame.
In step S312, the writing frame property acquisition module 140 acquires the writing frame property of the similar form.
In step S314, the writing frame property setting module 145 sets the properties of the writing frame to be defined based on the acquired writing frame property. In addition to the writing frame to be defined, other writing frames may be set using the writing frame property of the similar form.

FIG. 4 is an explanatory diagram illustrating an example of a processing target according to the first embodiment. The form 400 shows a form example of a “claim / complaint processing note”, and is used, for example, in a telephone response such as a product inquiry. The person in charge fills in the writing frame of the document on which the form 400 is printed. The handwritten form 400 is recognized and used for subsequent product upgrades and development.
The form 400 may be created by the form generation processing device 220, and the document data may be acquired by the form acquisition module 110. Alternatively, the printed form 400 may be read by the image reading device 210 and the image data may be acquired by the form acquisition module 110.

FIG. 5 is an explanatory diagram illustrating a processing example according to the first exemplary embodiment.
In the form 400, as a region where handwritten characters and the like are written, a reception person frame 505, a reception date / time (year / month / day) frame 510, a reception date / time (hour) frame 515, a reception date / time (minute) frame 520, a reception method Frame 525, customer name frame 530, gender frame 535, company name frame 540, postal code frame 545, telephone number frame 550, address frame 555, subject name frame 560, outline of complaint / complaint and cause frame 565, processing method ( Cost / others) frame 570, recurrence prevention measure frame 575, processing date frame 580, and processor frame 585.
These are selected (including designation) by the operation of the operator. If the form 400 is document data, the acceptor frame 505 or the like may be selected.

FIG. 6 is an explanatory diagram illustrating a processing example according to the first exemplary embodiment. The example shown in FIG. 6 shows an example in which a frame is selected by a user operation.
In order to select the customer name frame 530, the corner designation point 610 that is the upper left corner of the writing frame is designated, and then the lower right corner at the diagonal is designated by the frame designation cursor 620.
By this operation, the customer name frame 530 is selected. As a result of selection, the coordinates (x, y) of the corner designation point 610, the distance (width) in the x coordinate from the corner designation point 610 to the position of the frame designation cursor 620 designating the lower right corner, and the distance in the y coordinate ( Height) will be extracted.
Thereafter, in the conventional writing frame designating process that does not use the present embodiment, the user needs to set the attribute of the selected writing frame (customer name frame 530).
However, by using the information processing apparatus 100, a form similar to the form 400 is extracted, a writing frame attribute corresponding to the customer name frame 530 in the form is extracted, and set as an attribute of the customer name frame 530. Can do.

FIG. 7 is an explanatory diagram showing an example of the data structure of the form table 700.
The form table 700 has a form id column 710, a form storage location column 720, a form feature amount column 730, and a writing frame id column 740. In the present embodiment, the form id column 710 stores information (form id: identification) for uniquely identifying the form. The form storage location column 720 stores the storage location of the form. For example, it may be the document name of the form, or a URI (Uniform Resource Identifier, including URL: Uniform Resource Locator) that indicates the location of the form. The form feature amount column 730 stores form feature amounts. As the feature amount of the form, for example, as described above, the number of line segments, the distribution of the line segments, the number of frames, the distribution of the frames, the number of pixel blocks, the distribution of pixel blocks, the inside or the periphery of the writing frame This corresponds to the character recognition result for. The writing frame id column 740 is a writing frame included in the form, and stores information (writing frame id) for uniquely identifying the writing frame in this embodiment (or in the form). ing. This writing frame id becomes a pointer to the writing frame table 800 shown in the example of FIG.

FIG. 8 is an explanatory diagram showing an example of the data structure of the writing frame table 800. The writing frame table 800 includes a writing frame id column 810, a position column 820, a width column 830, a height column 840, a recognition result display setting column 850, a conversion dictionary column 860, and a frame name column 870. The writing frame id column 810 stores a writing frame id. The position column 820 stores the position (x coordinate, y coordinate) of the writing frame indicated by the writing frame id. The width column 830 stores the width of the writing frame. The height column 840 stores the height of the writing frame. The recognition result display setting field 850 stores settings such as character attributes when the recognition result is displayed in the writing frame. The conversion dictionary column 860 stores a conversion dictionary (recognition dictionary) used when character recognition is performed on the writing frame. In the example shown in FIG. 8, a dictionary of “general character string” and “alphanumeric character” is shown. However, as described above, a name dictionary, a telephone number dictionary, and the like may be used. The frame name column 870 stores the frame name of the writing frame.
The form table 700 and the writing frame table 800 are stored as information on the form for which the writing frame attribute has already been set. Then, information regarding the target form (form acquired by the form acquisition module 110) by the processing of the information processing apparatus 100, attributes in the form (for example, the recognition result display setting field 850, the conversion dictionary field 860, the frame name) Field 870) is added to the form table 700 and the writing frame table 800. The user can use the already set attribute without setting a new attribute for each writing frame.
For example, when character recognition is performed on a form or the like, a character recognition attribute (for example, a type of character recognition dictionary) is set for each writing frame, and character recognition is performed according to the attribute. ing. If this attribute is incorrect, the recognition rate will decrease. Therefore, in such a case, the information processing apparatus 100 not only makes it easier to set the attribute of the writing frame than the technique of newly setting the attribute for each writing frame, but also improves the recognition rate.

<Second Embodiment>
FIG. 9 shows a conceptual module configuration diagram of a configuration example of the second embodiment. The information processing apparatus 900 includes a form acquisition module 110, a writing frame selection module 115, a form feature extraction module 120, a writing frame feature extraction module 125, a form information storage module 130, a similar form extraction module 135, a writing frame property acquisition module 140, a writing A frame property setting module 145, a user selection request processing module 945, and an output module 150 are included. The information processing apparatus 900 is obtained by adding a user selection request processing module 945 to the information processing apparatus 100 according to the first embodiment.
In addition, the same code | symbol is attached | subjected to the site | part of the same kind as 1st Embodiment, and the overlapping description is abbreviate | omitted.

The form acquisition module 110 is connected to the form feature extraction module 120 and the writing frame property setting module 145.
The writing frame selection module 115 is connected to the writing frame feature extraction module 125.
The form feature extraction module 120 is connected to the form acquisition module 110 and the similar form extraction module 135.
The writing frame feature extraction module 125 is connected to the writing frame selection module 115 and the similar form extraction module 135.
The form information storage module 130 is connected to the similar form extraction module 135 and the user selection request processing module 945.
The similar form extraction module 135 is connected to the form feature extraction module 120, the writing frame feature extraction module 125, the form information storage module 130, the writing frame property acquisition module 140, and the user selection request processing module 945. Assume that the similar form extraction module 135 cannot extract the document type from the form information storage module 130 when there is no distance between the two in the feature space that is less than or less than a predetermined threshold.
The writing frame property acquisition module 140 is connected to the similar form extraction module 135 and the writing frame property setting module 145. When the document type cannot be extracted by the similar form extraction module 135, the writing frame property acquisition module 140 performs processing by the user selection request processing module 945 without performing processing.
The writing frame property setting module 145 is connected to the form acquisition module 110, the writing frame property acquisition module 140, the user selection request processing module 945, and the output module 150.
The user selection request processing module 945 is connected to the form information storage module 130, the similar form extraction module 135, and the writing frame property setting module 145. If the document type cannot be extracted by the similar form extraction module 135, the user selection request processing module 945 may include a writing frame (other writing frames selected by the writing frame selection module 115) for the operator. ) Request to set the attribute. Then, the writing frame property setting module 145 sets the attributes of the writing frame in accordance with the operation of the operator.
The output module 150 is connected to the writing frame property setting module 145.

FIG. 10 is a flowchart illustrating a processing example according to the second exemplary embodiment.
In step S1002, the form acquisition module 110 acquires a form.
In step S1004, the writing frame selection module 115 selects a writing frame. For example, the operator selects a writing frame for which an attribute is to be defined, and the writing frame selection module 115 accepts the selection operation.
In step S1006, the form feature extraction module 120 extracts form features.
In step S1008, the writing frame feature extraction module 125 extracts writing frame features (for example, position / width / height).
In step S1010, the similar form extraction module 135 selects a similar form from the form information storage module 130 based on the feature of the form and the feature of the writing frame.
In step S1012, the similar form extraction module 135 determines whether a similar form can be selected in step S1010. If it can be selected, the process proceeds to step S1018. Otherwise, the process proceeds to step S1014.

In step S1014, the user selection request processing module 945 requests the user to select a similar form. For example, when the distance between the two in the feature space is not less than or less than a predetermined threshold but is arranged in ascending order by that distance, a form in the form information storage module 130 that is within a predetermined order is selected. It may be possible to present it. The user may select a similar form (a form having a writing frame property to be copied) from the presented form.
In step S1016, the user selection request processing module 945 determines whether or not a similar form has been selected by a user operation. If selected, the process proceeds to step S1018. Otherwise, the process proceeds to step S1022.
In step S1018, the writing frame property acquisition module 140 acquires the writing frame property of the similar form.
In step S1020, the writing frame property setting module 145 sets a writing frame property to be defined based on the acquired writing frame property. In addition to the writing frame to be defined, other writing frames may be set using the writing frame property of the similar form.
In step S1022, the writing frame property setting module 145 manually sets the writing frame property (according to a user operation).

  A hardware configuration example of the information processing apparatus according to the present embodiment will be described with reference to FIG. The configuration illustrated in FIG. 11 is configured by, for example, a personal computer (PC), and illustrates a hardware configuration example including a data reading unit 1117 such as a scanner and a data output unit 1118 such as a printer.

  A CPU (Central Processing Unit) 1101 is the various modules described in the above-described embodiments, that is, the form acquisition module 110, the writing frame selection module 115, the form feature extraction module 120, the writing frame feature extraction module 125, and the similar form extraction. A control unit that executes processing according to a computer program in which the execution sequence of each module such as the module 135, the writing frame property acquisition module 140, the writing frame property setting module 145, the output module 150, and the user selection request processing module 945 is described. is there.

  A ROM (Read Only Memory) 1102 stores programs used by the CPU 1101, calculation parameters, and the like. A RAM (Random Access Memory) 1103 stores programs used in the execution of the CPU 1101, parameters that change as appropriate during the execution, and the like. These are connected to each other by a host bus 1104 constituted by a CPU bus or the like.

  The host bus 1104 is connected to an external bus 1106 such as a peripheral component interconnect / interface (PCI) bus via a bridge 1105.

  A keyboard 1108 and a pointing device 1109 such as a mouse are devices operated by an operator. The display 1110 includes a liquid crystal display device or a CRT (Cathode Ray Tube), and displays various types of information as text or image information. Further, a touch screen or the like having both functions of the pointing device 1109 and the display 1110 may be used.

  An HDD (Hard Disk Drive) 1111 includes a hard disk (may be a flash memory or the like), drives the hard disk, and records or reproduces a program executed by the CPU 1101 and information. The hard disk realizes a function as the form information storage module 130 or the like. Further, various other data, various computer programs, and the like are stored.

  The drive 1112 reads out data or a program recorded in a removable recording medium 1113 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, and the data or program is read out as an interface 1107 and an external bus 1106. , A bridge 1105, and a RAM 1103 connected via a host bus 1104. Note that the removable recording medium 1113 can also be used as a data recording area.

  The connection port 1114 is a port for connecting the external connection device 1115 and has a connection unit such as USB or IEEE1394. The connection port 1114 is connected to the CPU 1101 and the like via the interface 1107, the external bus 1106, the bridge 1105, the host bus 1104, and the like. The communication unit 1116 is connected to a communication line and executes data communication processing with the outside. The data reading unit 1117 is a scanner, for example, and executes document reading processing. The data output unit 1118 is a printer, for example, and executes document data output processing.

  Note that the hardware configuration of the information processing apparatus illustrated in FIG. 11 illustrates one configuration example, and the present embodiment is not limited to the configuration illustrated in FIG. 11, and the modules described in the present embodiment are executed. Any configuration is possible. For example, some modules may be configured with dedicated hardware (for example, Application Specific Integrated Circuit (ASIC), etc.), and some modules are in an external system and connected via a communication line In addition, a plurality of systems shown in FIG. 11 may be connected to each other via communication lines so as to cooperate with each other. In particular, in addition to personal computers, portable information communication devices (including mobile phones, smartphones, mobile devices, wearable computers, etc.), information appliances, robots, copiers, fax machines, scanners, printers, multifunction devices (scanners, printers, An image processing apparatus having two or more functions such as a copying machine and a fax machine) may be incorporated.

  In the above-described embodiment, an example of setting an attribute has been mainly described. However, an attribute candidate may be set. In the case of a candidate, a plurality of attribute candidates may be used. Then, an attribute selected by the user may be set.

The program described above may be provided by being stored in a recording medium, or the program may be provided by communication means. In that case, for example, the above-described program may be regarded as an invention of a “computer-readable recording medium recording the program”.
The “computer-readable recording medium on which a program is recorded” refers to a computer-readable recording medium on which a program is recorded, which is used for program installation, execution, program distribution, and the like.
The recording medium is, for example, a digital versatile disc (DVD), which is a standard established by the DVD Forum, such as “DVD-R, DVD-RW, DVD-RAM,” and DVD + RW. Standard “DVD + R, DVD + RW, etc.”, compact disc (CD), read-only memory (CD-ROM), CD recordable (CD-R), CD rewritable (CD-RW), Blu-ray disc ( Blu-ray (registered trademark) Disc), magneto-optical disk (MO), flexible disk (FD), magnetic tape, hard disk, read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM (registered trademark)) )), Flash memory, Random access memory (RAM) SD (Secure Digital) memory card and the like.
Then, the whole or a part of the program may be recorded on the recording medium for storage or distribution. Also, by communication, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a wired network used for the Internet, an intranet, an extranet, or a wireless communication It may be transmitted using a transmission medium such as a network or a combination of these, or may be carried on a carrier wave.
Furthermore, the program may be a part or all of another program, or may be recorded on a recording medium together with a separate program. Moreover, it may be divided and recorded on a plurality of recording media. Further, it may be recorded in any manner as long as it can be restored, such as compression or encryption.

DESCRIPTION OF SYMBOLS 100 ... Information processing apparatus 110 ... Form acquisition module 115 ... Writing frame selection module 120 ... Form feature extraction module 125 ... Writing frame feature extraction module 130 ... Form information storage module 135 ... Similar form extraction module 140 ... Writing frame property acquisition module 145 ... Writing frame property setting module 150 ... output module 210 ... image reading device 220 ... form generation processing device 230 ... character recognition device 250 ... image reading / character recognition device 290 ... communication line 900 ... information processing device 945 ... user selection request processing module

Claims (5)

A selection means for selecting a writing frame on the document type;
Extracting means for extracting the characteristics of the document type and the characteristics of the selected writing frame;
An extraction means for extracting a document type similar to the above feature from a document type to which a writing frame attribute has already been assigned;
An information processing apparatus comprising: setting means for setting an attribute assigned to a writing frame in a document type extracted by the extracting means as an attribute of the writing frame selected by the selecting means or an attribute candidate. When the document type is an image, the extracting unit extracts a feature of the image processing result of the document type or a recognition result of characters inside or around the selected writing frame as the feature of the document type. ,
The information processing apparatus according to claim 1. The setting means sets the attribute given to the writing frame in the document type extracted by the extracting means as a plurality of writing frame attributes or candidate attributes in the target document type.
The information processing apparatus according to claim 1 or 2. The setting unit sets the attribute of the writing frame according to the operation of the operator when the document type cannot be extracted by the extracting unit.
The information processing apparatus according to any one of claims 1 to 3. Computer
A selection means for selecting a writing frame on the document type;
Extracting means for extracting the characteristics of the document type and the characteristics of the selected writing frame;
An extraction means for extracting a document type similar to the above feature from a document type to which a writing frame attribute has already been assigned;
An information processing program for causing an attribute assigned to a writing frame in a document type extracted by the extracting unit to function as a setting unit that sets the attribute of the writing frame selected by the selecting unit or an attribute candidate.

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