JP6795770B2 - Information processing device and its processing method and program - Google Patents

Description

The present invention relates to an image processing technique that makes it possible to easily obtain a value of a desired portion of a document image.

Conventionally, various image processing techniques have been disclosed. Among them, there is a block selection technology.

The block selection technique recognizes image data in one page and classifies the blocks into blocks such as a character area, a figure area, a photographic area, and a table area. Character recognition is performed for the character area obtained by this block selection technique. The block selection technique is disclosed in Patent Document 1.

In addition, when character recognition is performed without using block selection, it is necessary to define the character recognition area as a template in advance. A technique for defining a character recognition area is disclosed in Patent Document 2.

Japanese Unexamined Patent Publication No. 2006-195887 Japanese Unexamined Patent Publication No. 2005-267394

Using the block selection technology, character information can be obtained from various forms, which is highly convenient. On the other hand, the character string in the block is divided into blocks within a predetermined range (for example, a range in which the character string extends over multiple lines). It was technically difficult to obtain the necessary character strings because all of them had to be extracted.

Further, in the technique of defining a character recognition area and acquiring a character string, the setting is complicated. Furthermore, it was necessary to create a setting for each form, and it was not possible to easily obtain the character string.

Therefore, an object of the present invention is to provide a mechanism capable of easily obtaining a value of a desired portion from a document image.

An information processing device that uses image data capable of acquiring a line area of a character string for each of a plurality of lines in order to achieve the object of the present invention, and a position condition for specifying a line area for acquiring a value from the image data. As a key character string included in the line area acquired from the image data, the relative direction of the line area containing the key character string and the line area for acquiring the value, and the line containing the key character string. The key character string is based on a setting means for setting a number of row areas for acquiring the value in the relative direction from the area and a line area having the key character string acquired from the image data. When the row area includes the key character string and the value to be acquired, the acquisition means includes the acquisition means for acquiring the value from the row area satisfying the position condition corresponding to the above. It is characterized in that the value is acquired based on the output condition set in advance for the value to be performed.

According to the present invention, the value of a desired portion can be easily obtained from a document image.

It is a figure which shows the configuration example of an image processing system. It is a block diagram which shows the schematic structure of PC201. It is a flowchart which shows the outline of the image processing executed by the image processing system. It is a flowchart of the setting condition (setting file) creation process. It is a flowchart of the value acquisition process by a setting condition. It is a data diagram which shows an example of block information. It is a data figure which shows an example of character recognition area information. It is a data figure which shows an example of a setting file. It is an image diagram which shows an example of the document image to read. It is an image diagram when the block information is displayed on the document image. It is an image diagram when the character recognition area information is displayed on a document image as a selection area. It is a figure which shows an example of the setting screen for generating the setting information. It is a figure which shows an example of the setting screen when the selection of the value acquisition area is accepted. It is a figure which shows an example of the screen which displayed the value acquired by the value acquisition process.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a diagram showing a configuration example of an image processing system to which the image processing method according to the embodiment of the present invention is applied.

In FIG. 1, the image processing system includes, for example, a personal computer (PC) 201 as an information processing device, a scanner 202 as an image reading device, and a printer 203 as a printing device, which are connected via a network 204. Connected to each other.

The scanner 202 can optically read a paper document, digitize it, and send the image data to the PC 201. The PC 201 executes a predetermined image processing on the received image data. At that time, the operator can operate the keyboard, mouse, or the like to check and correct the processing result. The printer 203 receives the image data subjected to the predetermined image processing from the PC 201 and prints the image data.

The network 204 is realized by any one of the Internet, LAN and WAN, telephone line, dedicated digital line, ATM and frame relay line, communication satellite line, cable TV line, wireless line for data broadcasting, etc., or a combination thereof. It is a so-called communication network, as long as it can send and receive data.

The form in which the image processing method according to the embodiment of the present invention is applied to the illustrated image processing system will be described, but the present invention is not limited to this, and is applied to a multifunction device in which a scanner and a printer are integrally configured. There may be. Further, the PC 201 is not limited to the image data input from the scanner 202, and the image processing method of the present invention may be executed on the document image data taken by a digital camera or the like, and the input destination or input of the image data may be executed. It does not limit the method.

FIG. 2 is a block diagram showing a schematic configuration of PC 201 of FIG.

In the PC 201, the CPU 101 controls the entire device according to the control program stored in the ROM 102. The ROM 102 stores various programs including control programs such as processes executed by the CPU 101, which will be described later, and various parameter data. The RAM 103 temporarily stores the program loaded from the storage device 104, and stores the area image and various data. Further, the RAM 103 functions as a data work area or a temporary save area.

The storage device 104 is composed of, for example, a hard disk, a CD-ROM, or the like, and stores various data including a database for managing image data. The display 105 is composed of, for example, an LCD or a CRT. The input device 106 is composed of, for example, a mouse, a keyboard, a pen tablet, or the like.

The network interface (I / F) 109 communicates with an external device (not limited to the scanner 202 and the printer 203, but also a server and an external storage device (not shown)) connected on the network 204 to read programs and data. , Write.

FIG. 3 is a flowchart showing an outline of image processing executed by the image processing system of FIG. This process is a process executed by the CPU 101 based on the image processing program in the PC 201. A flowchart showing the detailed processing of FIG. 3 will be described with reference to FIGS. 4 and 5.

First, in step S301, the PC 201 controls the scanner 202 to read an image of a paper document and acquire the image data. Next, the PC 201 performs a block selection process on the image to extract each area of the table, characters, pictures and figures, frames, and lines from the image.

The block selection process recognizes the image data of one page read as shown in FIG. 9 as a block for each object, determines each of the blocks as attributes such as characters / drawings / photographs / lines / tables, and sets different attributes. It is a process to divide into the area to have.

Specifically, first, the input image is binarized to black and white, and contour line tracking is performed to extract a pixel block surrounded by a black pixel contour. For a block of black pixels with a large area, the outline is traced to the white pixel inside to extract the block of white pixels, and the block of black pixels recursively from the inside of the block of white pixels over a certain area. Extract the mass.

The black pixel mass thus obtained is classified by size and shape, and classified into regions having different attributes. For example, a pixel block having an aspect ratio close to 1 and a constant size is defined as a pixel block equivalent to a character, a part where adjacent characters can be grouped in a well-aligned manner is a character area, and a flat pixel block is a line area. The area occupied by the black pixel block that is larger than the size and contains the square white pixel block in a well-aligned manner is the table area, the area where the irregular pixel block is scattered is the photographic area, and the pixel block of any other shape is defined. The drawing area, etc.

The block information for each block obtained by the block selection process is shown in FIG. FIG. 10 is an example of an image corresponding to the block information shown in FIG. Although each block information is not displayed on the screen, each block is shown in FIG. 10 for the sake of explanation.

Of the blocks obtained by this block selection process, a block having a text attribute (type) is acquired, and character recognition processing is performed on this block. Since the character recognition technology is a known technology, the description thereof will be omitted.

From the character string obtained as a result of character recognition, it is determined whether the area extends over a plurality of lines, and if it extends over a plurality of lines, it is divided into each line and registered as an area. One line is registered as the area as it is. Since the area (coordinates) obtained when the character is recognized can also be acquired, the coordinates are registered. FIG. 7 shows an example of data registered as an area. Block 4 of FIG. 6 is divided into five areas and registered (701).
In addition, depending on the result of character recognition, in the case of "individual number" and "12345678901" in which lines are separated, they are divided and registered as 702.

Using this registered area, a condition (setting condition) for specifying a value acquisition area is created by the user on the setting screen (FIG. 13). The created setting conditions are saved in a setting file (FIG. 8) and stored in the storage device 104.

In step S302, the PC 201 reads the image for which the value is actually acquired, and specifies the area for acquiring the value according to the setting condition created in step S301. In this specification, the character recognition process is performed on the block obtained by the block selection, the line is divided, and the area is registered, as in the process described in step S301. From this area, the key area is searched based on the search character string (for example, notification card) of the key area of the setting condition, and from this key area, the condition (for example, 1 below) is used to obtain the key area. The first area below is specified as the value acquisition area.

In step S303, the PC 201 acquires a character string (number) registered in the area specified as the value acquisition area and displays it on the display 105. A display example on the display is shown in FIG. In addition, a data group of values acquired in a CSV file or the like is exported and output according to an output instruction from the user.

Next, the detailed processing in the present embodiment will be described with reference to FIGS. 4 to 5. 4 to 5 are flowcharts showing details of image processing executed by the image processing system of FIG. 1. This process is a process executed by the CPU 101 based on the image processing program in the PC 201. FIG. 4 is a flowchart of a setting condition (setting file) creation process, and FIG. 5 is a flowchart of a value acquisition process based on the setting condition.
First, it will be described with reference to the flowchart of FIG.

In step S401, has the PC 201 executed the image processing program by the user's operation, and has the setting condition creation function selected from the menu (not shown)? Determine if the value acquisition function is selected. When the setting condition creation function is selected, the process proceeds to step S402. When the value acquisition function is selected, the process is moved to FIG.

In step S402, the PC 201 reads an image captured from the scanner or an image stored in a predetermined folder. An example of the read image is shown in FIG.

In step S403, the PC 201 executes the block selection process using the read image. The block selection process is as in step S301. This block selection is executed using the block selection library. The block information obtained by the block selection is shown in FIG.

Here, FIG. 6 will be described. It has block ID, type (text, figure, table ...) area information (coordinates X, coordinates Y, width, height). These block information is generated by the block selection library.

In step S404, the PC 201 acquires block information having a text type and a table type from the block selection library.

In step S405, the PC 201 performs character recognition processing on the acquired block. The character recognition process is a known technique and the description thereof will be omitted. However, for example, there is a technique of collating the entered character with the character template and extracting the character candidate by using pattern matching.

By the character recognition process, a character string (including numbers) and area information (coordinates) of the character string can be acquired. The area information is an area indicating a frame surrounding the character string. The result of character recognition shall be managed in memory for each block.

In step S405, character recognition is first executed for all blocks, and the process proceeds to step S408. However, character recognition may be performed for each block to determine S408. That is, the procedure is not limited to the procedure of executing the determination in step S408 after executing the character recognition for all the blocks.

In step S406, the PC 201 determines whether or not the processing has been executed for all the blocks. If the processing has not been performed for all the blocks, the processing is moved to step S407 in order to acquire the character string of the block to be processed next. When the processing is executed for all the blocks, the processing is moved to step S411.

In step S407, the PC 201 acquires the character recognition result (character string) of the block to be processed from the memory.

In step S408, the PC 201 determines whether the acquired character string is a character string having a plurality of lines. Taking block 4 as an example with reference to FIG. 10, since a character string extending over 5 lines can be acquired, the process is moved to step S410. Further, taking block 1 as an example, since a character string of one line can be acquired, the process is moved to step S409.

In step S409, the PC 201 registers the character recognition result in the character recognition area information of FIG. In FIG. 7, the area ID, the character string obtained from the character recognition result, and the area information (coordinates) indicating the position where the character string is located are registered.

In step S410, the PC 201 is divided into lines and registered in the character recognition area information. As shown in 701 of FIG. 7, the character string of the block 4 is registered by dividing it into five areas. As the area information (coordinates), the coordinates of the position where the character string of each line is located are registered.
The area registered in FIG. 7 is a selection area that can be selected on the setting screen described later.

In step S411, the PC 201 displays the selected area using the coordinates of the character recognition area information of FIG. 7. An example of displaying the selected area is shown in FIG. 11, and the selected area is shown by a broken line. That is, it is a step showing an example of a display process for displaying the character recognition area obtained by the character recognition process in order to generate setting information.

In step S412, the PC 201 also displays the setting screen when displaying the selected area. An example of the setting screen is shown in FIG. The display of the setting screen may be configured to be displayed in advance when the screen of S402 is read, and the procedure is not limited.

In step S413, the PC 201 receives the selection of the area to be the key area by the operation of the user. To elaborate based on the example of FIG. 12, if the region 1201 is selected while the focus is on 1200, the selected region name is input to 1200. The area name is acquired from the character string of FIG. 7 and displayed. It is assumed that the number of characters up to the area name and the area name up to the delimiter such as a space are set in advance.
That is, it is a step showing an example of the first selection process of selecting the key area from the displayed character recognition area.

1201 and 1202 indicate that they have been selected as key regions, as shown by the solid lines. In addition, it is displayed so that it can be identified as an unselected area. This makes it easier to understand which area is selected as the key area.

The conditions (and, or) shall be arbitrarily selected by the user. The position will be described later, but it is displayed when the area is selected as the value acquisition area.

In step S414, the PC 201 displays the area name of the selected area on the setting screen as described above. To select multiple key areas, repeat the next area.

In step S415, the PC 201 accepts the selection of the area to be the value acquisition area. To elaborate based on the example of FIG. 13, if the region 1301 is selected while the focus is on the 1300, the selected region name is input to the 1300. The area name is acquired from the character string of FIG. 7 and displayed. It is assumed that the number of characters up to the area name and the area name up to the delimiter such as a space are set in advance.
That is, it is a step showing an example of the second selection process of selecting the area to be the value acquisition area from the displayed character recognition area.

Reference numeral 1301 indicates that the value acquisition area has been selected as shaded by diagonal lines. In addition, it is displayed so that it can be identified as an unselected area or a key area. As a result, it becomes easy to grasp which area is selected as the key area and the value acquisition area, and the setting work becomes easy.

That is, it is a step showing an example of an identification display process for identifiablely displaying the area that is the key selected in the first selection process and the area that is the value acquisition area selected in the second selection process. ..

In step S416, the PC 201 displays the area name of the selected area (value acquisition area) on the setting screen as described above.

In step S417, the PC 201 acquires the relationship (position) between the key area and the value acquisition area. Specifically, the positional relationship is calculated from the area information (coordinates) of the area selected as the key area and the area information (coordinates) of the area selected as the value acquisition area. For example, when it is determined that the value acquisition area is located below the key area, the number of the area is determined downward from the key area. In the example of FIG. 13, 1301 is determined to be an area below the area of the notification card and is determined to be the first area. This position is determined for each selected key area, and the position information of the relationship is acquired.

That is, the position of the value acquisition area corresponding to the key area is specified according to the area information of the key area selected by the first selection process and the area information of the value acquisition area selected by the second selection process. This is a step showing an example of specific processing to be performed.

In step S418, the PC 201 sets the position information acquired in step S417 as a condition in 1302 and displays it.
In step S419, the PC 201 accepts inputs for other condition settings. For example, the acquired value attribute, the number of digits, and the like.

The operations corresponding to the processes of steps S413 to S419 are not limited to the procedures described in the flowchart because the user can perform input operations in any order.

In step S420, when the registration button is pressed by the user's operation, the PC 201 saves the conditions (setting information) input on the setting screen in the setting file. That is, it is a step showing an example of the process of setting the position specified by the specific process as the position condition and setting the character string of the key area selected in the first selection process as the key character string. The input to each item on the setting screen of FIG. 13 is also an example of the setting process.

An example of saving the setting file is shown in FIG. 801 is an example when an area is registered as in 701, and 802 is an example when an individual number and a number area are recognized as separate lines and an area is registered as in 702. .. Then, this is an example when a notification card and an individual number are selected as the key area.

The setting information of the setting file of FIG. 8 acquires a key character string for specifying a key area (for example, a search character string of the key area: notification card) and a character string based on the key area. It can be rephrased as setting information including a position condition (condition: lower 1) for specifying an area.

Subsequently, the flowchart of the value acquisition process according to the setting condition will be described with reference to FIG.

In step S501, the PC 201 reads the setting information from the setting file. The user may arbitrarily select and read the configuration file to be used.
In step S502, the PC 201 reads an image captured from the scanner or an image stored in a predetermined folder.

In step S503, the PC 201 executes the block selection process using the read image. This block selection is executed using the block selection library. The block selection process is as in step S301. The block information is the same as in FIG. Further, the character recognition process may be executed in the block selection library.

In step S504, the PC 201 acquires block information having a text type and a table type from the block selection library.

In step S505, the PC 201 performs character recognition processing on the acquired block. The character recognition process is a known technique and the description thereof will be omitted. However, for example, there is a technique of collating the entered character with the character template and extracting the character candidate by using pattern matching.

By the character recognition process, a character string (including numbers) and area information (coordinates) of the character string can be acquired. The area information is an area indicating a frame surrounding the character string. The result of character recognition shall be managed in memory for each block.

In step S505, character recognition is first executed for all blocks, and the process proceeds to step S508. However, character recognition may be performed for each block and the determination in S508 may be performed. That is, the procedure is not limited to the procedure of executing the determination in step S508 after executing the character recognition for all the blocks.

In step S506, the PC 201 determines whether or not the processing has been executed for all the blocks. If the processing has not been performed for all the blocks, the processing is moved to step S507 in order to acquire the character string of the block to be processed next. When the processing is executed for all the blocks, the processing is moved to step S509.

In step S507, the PC 201 acquires the character recognition result (character string) of the block to be processed from the memory. That is, it is a step showing an example of an acquisition process for acquiring a character string obtained by a character recognition result (result of character recognition of a block) for an image in a predetermined area. The predetermined region is, for example, an region obtained by block selection.

In step S508, the PC 201 determines whether the acquired character string is a character string having a plurality of lines. Since it is the same as the process of step S408, it will be described with reference to FIG. Taking block 4 as an example, since a character string spanning 5 lines can be acquired, the process is moved to step S510. Further, taking block 1 as an example, since a character string of one line can be acquired, the process is moved to step S509. That is, step S508 is a step showing an example of a multi-line determination process for determining whether or not the character string acquired by the acquisition process is a character string of a plurality of lines.

In step S509, the PC 201 stores the character recognition result in the memory. Since it is the same as the process in step S409, it will be described with reference to FIG. The character recognition result is registered in the character recognition area information of FIG. In FIG. 7, the area ID, the character string obtained from the character recognition result, and the area information (coordinates) indicating the position where the character string is located are registered.

In step S510, the PC 201 divides the area for each line to generate and register the character recognition area information. As shown in 701 of FIG. 7, the character string of the block 4 is registered by dividing it into five areas. As the area information (coordinates), the coordinates of the position where the character string of each line is located are registered.

The character recognition area information in FIG. 7 can be rephrased as the character recognition area obtained by the character recognition process. Further, step S510 is a step showing an example of a generation process for generating a character recognition area for each line when a plurality of lines are determined by the multi-line determination process.

In step S511, the PC 201 acquires the search character string (see FIG. 8) of the key area of the read setting information, and searches for the character recognition area information. According to the search character string of the key area, the area that matches in the character string of the character recognition area information is specified. As a result, the matched area becomes the key search area. That is, it is a step showing an example of the key area specifying process for specifying the key area from the character recognition area obtained by the character recognition process according to the key character string. Further, in detail, it is a step showing an example of a process of specifying a key area from the character recognition area generated by the generation process.

In step S512, the PC 201 acquires the key area and the condition of the setting information (for example, "lower 1"), and identifies the area one lower than the key area. Based on the coordinates of the key area, the area having the downward coordinates is searched and specified with reference to the character recognition area information (for example, FIG. 7). This specified area becomes the value acquisition area. It should be noted that, among the regions having the downward coordinates, the first region and the second region are set in order from the region having the closest coordinates.
When there are a plurality of key areas, the value acquisition area is specified according to the condition "and, or" of the key area.

That is, it is a step of showing an example of the value acquisition area specifying process for specifying the value acquisition area from the character recognition area according to the specified key area and the position condition of the setting information.

When the value acquisition area can be specified in step S512, the frame or the like is identified and displayed according to the coordinates of the value acquisition area so as to indicate the value acquisition location on the image. An example of identification and display is 1401 in FIG. FIG. 14 is an image (document image) of a form in which an individual different from the form of FIG. 9 is taken as an example, and the value acquisition display and the identification display are performed.

In step S511 and step S512, after the key area is specified, the area under the position condition (for example, lower 1) is specified from the key area and the value is acquired, so that the value at the wrong position can be acquired. It disappears. When a template with character recognition definition is used, an appropriate value cannot be obtained due to a paste error by the user, but by using this process, the value of the part to be acquired can be obtained even if there is a paste error. Is possible.

In step S513, the PC 201 acquires the character string of the value acquisition area specified in step S512. The character string is acquired from the character string of the character recognition area information (for example, FIG. 7). At this time, the necessary character string is acquired according to the output condition (for example, "number, 12 digits").

In step S514, the PC 201 displays the acquired character string (value) on the recognition result screen 1402. That is, it is a step showing an example of the display output process that outputs the character string of the specified value acquisition area.

If a value that matches the output condition cannot be obtained in step S513, an error is notified. If there is an error in the recognition result, the user can input the correction value in the correction input area. When input is made in the correction input area, the input value becomes the registered value.

In step S515, the PC 201 outputs the recognition result to the CSV file. When a plurality of images are read, value acquisition is executed for all the images, the value is registered with the registration button in FIG. 14, and the value for the last image is registered, the CSV file is created. And output the value. The format of the output file is an example and is not limited.

In addition, it goes without saying that it is possible to output the recognition result (value) to a predetermined output destination by pressing an output button (not shown) when the output destination of the file is arbitrarily specified or output. No.
The value to be output may be only "987654321098" or may be output together with the area name (individual number) of 987654321098.

As described above, according to the present embodiment, the value of the desired portion can be easily obtained from the document image.

In particular, it is possible to easily set the condition for acquiring the value without using the template in which the character recognition area that requires complicated setting is set. Further, even when a character string extending over a plurality of lines can be acquired by block selection, it is possible to easily and accurately acquire a value at a predetermined position.

For example, when the character recognition technology used as a template is used, if there is a pasted document in the application form, the recognition area will shift if the pasting position shifts, and an incorrect value will be acquired. There is. In the present embodiment, even if the pasting position is shifted vertically and horizontally, the key area is specified by using the block selection, and then the area in the position condition is specified from the key area and the value is acquired. It is possible to obtain the effect that the value of the position is not acquired.

It should be noted that the structure and contents of the various data described above are not limited to this, and it goes without saying that the structure and contents are various depending on the intended use and purpose. For example, in the present embodiment, as a condition for specifying the value acquisition area, a condition is given for each area in the form of an area "one" below, but a position relative to the key area is given. It may be. That is, the configuration may be such that the position condition from the key area for specifying the value acquisition area is provided.

Although one embodiment has been described above, the present invention can take an embodiment as a system, an apparatus, a method, a program, a recording medium, or the like, and specifically, is composed of a plurality of devices. It may be applied to a system or a device consisting of one device. For example, it may be a configuration realized in a cloud environment. In that case, the configuration file creation tool is executed on the server in the cloud environment.

Further, the program in the present invention is a program in which a computer can execute the processing method of the flowchart shown in FIGS. 3 to 5. The storage medium may be configured to store a program in which a computer can execute the processing methods of FIGS. 3 to 5. The program in the present invention may be a program for each processing method of each device of FIGS. 3 to 5.

As described above, the recording medium on which the program that realizes the functions of the above-described embodiment is recorded is supplied to the system or the device, and the computer (or CPU or MPU) of the system or the device stores the program in the recording medium. Needless to say, the object of the present invention can be achieved by reading and executing.

In this case, the program itself read from the recording medium realizes the novel function of the present invention, and the recording medium storing the program constitutes the present invention.

Recording media for supplying programs include, for example, flexible disks, hard disks, optical disks, magneto-optical disks, CD-ROMs, CD-Rs, DVD-ROMs, magnetic tapes, non-volatile memory cards, ROMs, EEPROMs, and silicon. Disks, solid state drives, etc. can be used.

Further, by executing the program read by the computer, not only the function of the above-described embodiment is realized, but also the OS (operating system) or the like running on the computer is actually operated based on the instruction of the program. Needless to say, there are cases where a part or all of the processing is performed and the processing realizes the functions of the above-described embodiment.

Further, after the program read from the recording medium is written to the memory provided in the function expansion board inserted in the computer or the function expansion unit connected to the computer, the function expansion board is based on the instruction of the program code. It goes without saying that there are cases where the CPU or the like provided in the function expansion unit performs a part or all of the actual processing, and the processing realizes the functions of the above-described embodiment.

Further, the present invention may be applied to a system composed of a plurality of devices or a device composed of one device. It goes without saying that the present invention can also be applied when it is achieved by supplying a program to a system or device. In this case, by reading the recording medium in which the program for achieving the present invention is stored into the system or device, the system or device can enjoy the effect of the present invention.

Further, by downloading and reading a program for achieving the present invention from a server, database, or the like on the network by a communication program, the system or device can enjoy the effect of the present invention.
It should be noted that all the configurations in which each of the above-described embodiments and modifications thereof are combined are also included in the present invention.

101 CPU
102 RAM
104 Storage device 201 PC
202 Scanner 203 Printer

Claims (7)

An information processing device that uses image data that can acquire the line area of a character string for each of a plurality of lines.
As a position condition for specifying a row area for which a value is acquired from the image data, a key character string included in the row area acquired from the image data, a row area having the key character string, and a row area for acquiring the value are used. A setting means for setting a relative direction with and a number for specifying a line area for acquiring the value in the relative direction from a line area with the key character string, and
Based on the line region of the key character string obtained from the image data, e Bei and acquisition means for acquiring a value from a position qualifying rows area corresponding to the key character string,
When the row area is an area including a key character string and a value to be acquired, the acquisition means acquires a value from the row area based on a preset output condition for the value to be acquired. Information processing device as a feature. The first receiving means for accepting the designation of the line area containing the key character string,
A second receiving means for accepting the designation of the row area for acquiring the value, and
With more
The setting means includes a key character string included in a line area acquired from the image data according to reception by the first reception means and the second reception means, and a line area containing the key character string. It is characterized in that the direction relative to the row area for acquiring the value and the number for specifying the row area for acquiring the value in the relative direction from the row area with the key character string are set. The information processing device according to claim 1 . The plurality of line areas are displayed, and the line area having the key character string specified by the first receiving means and the line area for acquiring the value specified by the second receiving means can be distinguished and displayed. The information processing apparatus according to claim 2 , further comprising a display means. The information processing apparatus according to claim 1, wherein the setting means reads out and sets a position condition stored in the storage means. The information processing apparatus according to any one of claims 1 to 4 , wherein the row area acquired from the image data is an area obtained by dividing a block area based on the block selection. It is a processing method of an information processing device that uses image data that can acquire a line area of a character string for each of a plurality of lines.
As a position condition for specifying a row area for which a value is acquired from the image data, a key character string included in the row area acquired from the image data, a row area having the key character string, and a row area for acquiring the value are used. A setting step for setting a relative direction with and a number for specifying a line area for acquiring the value in the relative direction from a line area with the key character string, and
Including an acquisition step of acquiring a value from a row area satisfying the position condition corresponding to the key character string based on a certain line area of the key character string acquired from the image data.
When the row area is an area including the key character string and the value to be acquired, in the acquisition step, the value is acquired from the row area based on the output conditions preset for the value to be acquired. Characteristic processing method. An information processing device program that uses image data that can acquire the line area of a character string for each of a plurality of lines.
The information processing device
As a position condition for specifying a row area for which a value is acquired from the image data, a key character string included in the row area acquired from the image data, a row area having the key character string, and a row area for acquiring the value are used. A setting means for setting a relative direction with and a number for specifying a line area for acquiring the value in the relative direction from a line area with the key character string, and
Based on the line area of the key character string acquired from the image data, the function is made to function as an acquisition means for acquiring a value from a line area satisfying the position condition corresponding to the key character string.
When the row area is an area including a key character string and a value to be acquired, the acquisition means acquires a value from the row area based on preset output conditions for the value to be acquired. Characterized program.

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