JP6481204B2 - Information processing apparatus, processing method thereof, and program - Google Patents

Description

  The present invention relates to an image processing technique that makes it possible to easily acquire 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 technique.

  The block selection technique is to recognize image data in one page and classify it into blocks such as a character area, a picture area, a photograph area, and a table area. Character recognition is performed on a character region 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 a character recognition area as a template in advance. A technique for defining a character recognition area is disclosed in Patent Document 2.

JP 2006-195887 A JP 2005-267394 A

  When using block selection technology, character information can be acquired from various forms, which is very convenient, but in order to divide the block into a predetermined range (for example, a range of character strings extending over multiple lines) All of them were extracted, and it was technically difficult to obtain a necessary character string.

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

  Therefore, an object of the present invention is to provide a mechanism that can easily acquire a value of a desired location from a document image.

In order to achieve the object of the present invention, an information processing apparatus for obtaining and outputting values from image data including a plurality of areas having different attributes, written in a plurality of character strings in the image data A character area specifying means for specifying a character area; and a key character string specifying means for extracting a character string area of each of a plurality of character strings in the character area and specifying a key character string at a plurality of locations in the extracted area ; , An acquisition means for acquiring to output the value in the extracted area that matches a position condition associated in advance for each key character string specified at the plurality of locations, and a setting for acquiring to output The information is stored as information, and the position condition associated in advance for each key character string is the relative direction between the key character string and the value and the relative direction from the key character string. Value acquisition position The information processing apparatus comprising: a setting means for setting a specific possible number.

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

It is a figure which shows the structural example of an image processing system. It is a block diagram which shows schematic structure of PC201 It is a flowchart which shows the outline of the image processing performed with an image processing system. It is a flowchart of a setting condition (setting file) creation process. It is a flowchart of the value acquisition process by setting conditions. It is a data diagram which shows an example of block information It is a data diagram 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 figure which shows an example of the document image to read It is an image figure at the time of displaying block information on a document image It is an image figure when 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 producing | generating setting information. It is a figure which shows an example of a setting screen, when selection of a value acquisition area is received 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 illustrating a configuration example of an image processing system to which an image processing method according to an 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 apparatus, a scanner 202 as an image reading apparatus, and a printer 203 as a printing apparatus, which are connected via a network 204. Are 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 predetermined image processing on the received image data. At that time, the operator can confirm and correct the processing result by operating a keyboard, a mouse, or the like. The printer 203 receives image data on which predetermined image processing has been performed from the PC 201 and performs printing.

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

  Although an embodiment 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, the present invention is not limited to this, and the embodiment is applied to a multifunction machine in which a scanner and a printer are integrated. There may be. Further, the PC 201 is not limited to the image data input from the scanner 202, and may execute the image processing method of the present invention on document image data captured by a digital camera or the like. The method is not limited.

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

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

  The storage device 104 is composed of, for example, a hard disk or a CD-ROM, 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, and the like.

  A network interface (I / F) 109 communicates with an external device (not limited to the scanner 202 and the printer 203, but a server or an external storage device, not shown) connected on the network 204, and reads a program or data. Or write.

  FIG. 3 is a flowchart showing an outline of image processing executed in 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. The flowchart showing the detailed processing of FIG. 3 will be described with reference to FIGS.

  First, in step S301, the PC 201 controls the scanner 202 to read an image of a paper document and acquires the image data. Next, the PC 201 performs a block selection process on the image, and extracts a table, a character, a picture, a figure, a frame, and a line area 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 block as an attribute such as character / drawing / photo / line / table, and sets different attributes. This is a process of dividing the area.

  Specifically, first, the input image is binarized into black and white, and contour tracking is performed to extract a block of pixels surrounded by a black pixel contour. For a black pixel block with a large area, contour tracing is also performed for white pixels inside, and a white pixel block is extracted, and the black pixel block is recursively extracted from the white pixel block with a certain area or more. Extract lumps.

  The black pixel blocks obtained in this way are classified by size and shape, and are classified into regions having different attributes. For example, if the aspect ratio is close to 1 and the size is within a certain range, the pixel block corresponding to the character is used, the portion where the adjacent characters can be grouped in a well-aligned manner is the character region, and the flat pixel block is the line region. 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 region, the region where the irregular pixel block is scattered is the photo region, and the pixel block of any other shape is used. A drawing area, etc.

  FIG. 6 shows block information for each block obtained by the block selection process. FIG. 10 shows an example of an image corresponding to the block information shown in FIG. In addition, although each block information is not displayed on a screen, each block shall be shown in FIG. 10 for description.

  Among 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 technique is a known technique, the description thereof is omitted.

From a character string obtained as a result of character recognition, it is determined whether the region extends over a plurality of lines. When the region extends over a plurality of lines, it is divided into lines and registered as a region. One line is registered as an area as it is. Since the area (coordinates) obtained when the character is recognized can also be acquired, the coordinates are registered. An example of data registered as an area is shown in FIG. The block 4 in FIG. 6 is divided and registered as five areas (701).
Depending on the result of character recognition, in the case of “personal number” “12345678902” in which the line is divided, it is recognized and registered as 702.

  Using the registered area, a condition (setting condition) for selecting a value acquisition area is selected 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 an image for which a value is to be actually acquired, and specifies an area from which the value is acquired according to the setting condition created in step S301. For this specification, similar to the processing described in step S301, character recognition processing is performed on the block obtained by block selection, the line is divided, and the region is registered. 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 of the key area is The lower first area is specified as the value acquisition area.

  In step S <b> 303, the PC 201 acquires the character string (number) registered in the area specified as the value acquisition area and displays it on the display 105. An example of display on the display is shown in FIG. In addition, a data group of values acquired in a CSV file or the like according to an output instruction from the user is exported and output.

Next, detailed processing in this embodiment will be described with reference to FIGS. 4 to 5 are flowcharts showing details of image processing executed in 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. FIG. 4 is a flowchart of setting condition (setting file) creation processing, and FIG. 5 is a flowchart of value acquisition processing based on the setting conditions.
First, it demonstrates using the flowchart of FIG.

  In step S401, the PC 201 causes the image processing program to be executed by a user operation, and has the setting condition creation function been selected from a menu (not shown)? It is determined whether the value acquisition function is selected. If the setting condition creation function is selected, the process proceeds to step S402. If the value acquisition function is selected, the process proceeds 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 block selection processing using the read image. The block selection process is as in step S301. This block selection is executed using a block selection library. Block information obtained by block selection is shown in FIG.

  Here, FIG. 6 will be described. It has a block ID, type (text, figure, table...) Area information (coordinate X, coordinate Y, width, height). Such block information is generated by a 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 will not be described. For example, there is a technique for extracting character candidates by collating a character with a character template using pattern matching.

  By character recognition processing, 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 is 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, and the determination in step S408 may be performed. That is, the present invention is not limited to the procedure for executing the determination in step S408 after performing character recognition on all blocks.

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

  In step S407, the PC 201 obtains 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 of a plurality of lines. Referring to FIG. 10, taking block 4 as an example, a character string extending over five lines can be acquired, and thus the process proceeds to step S410. Further, taking block 1 as an example, since a character string of one line can be acquired, the process proceeds 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 area information (coordinates) indicating the position where the character string is located are registered.

In step S410, the PC 201 divides each line and registers it in the character recognition area information. As indicated by reference numeral 701 in FIG. 7, the character string of block 4 is registered in five areas. In the area information (coordinates), the coordinates of a certain position of the character string in each line are registered.
Note that the area registered in FIG. 7 is a selection area that can be selected on a setting screen described later.

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

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

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

  Reference numerals 1201 and 1202 indicate that the key areas are selected as indicated by the solid lines. In addition, it is displayed so that it can be identified as an unselected region. Thereby, it becomes easy to grasp which area is selected as the key area.

  The condition (and, or) is arbitrarily selected by the user. As will be described later, the position is displayed when an area is selected as the value acquisition area.

  In step S414, the PC 201 displays the area name of the area selected as described above on the setting screen. When selecting a plurality of key areas, the next area is repeatedly selected.

In step S415, the PC 201 accepts selection of an area to be a value acquisition area. Describing in detail based on the example of FIG. 13, when the region 1301 is selected in a state where the focus is on 1300, the region name selected in 1300 is input. The area name is acquired from the character string in FIG. 7 and displayed. It is assumed that the number of characters up to the region name or the region name up to a break such as a space is set in advance.
That is, this is a step showing an example of a second selection process for selecting an area to be a value acquisition area from the displayed character recognition area.

  Reference numeral 1301 indicates that the value acquisition area is selected as indicated by hatching. In addition, it is displayed so that it can be identified from an unselected area and a key area. As a result, it becomes easy to grasp which region is selected as the key region and the value acquisition region, and the setting operation is facilitated.

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

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

  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 areas 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 as the first area. This position is determined for each selected key area, and related position information 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. It is a step which shows an example of the specific process to perform.

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 receives an input of other condition settings. For example, the acquired value attribute and the number of digits.

  Note that the operation corresponding to the processing in steps S413 to S419 is not limited to the procedure described in the flowchart because the user can perform an input operation in an arbitrary order.

  In step S420, when the registration button is pressed by a user operation, the PC 201 saves the conditions (setting information) input on the setting screen in a setting file. That is, this is a step showing an example of a process for setting the position specified by the specifying process as a position condition and setting the character string of the area to be the key selected in the first selection process as the key character string. Note that input to each item on the setting screen of FIG. 13 is an example of setting processing.

  An example of saving the setting file is shown in FIG. Reference numeral 801 denotes an example in which an area is registered as in 701, and reference numeral 802 denotes an example in which a personal number and a numeric area are recognized as separate lines and an area is registered as in 702. . In this example, a notification card and a personal number are selected as the key area.

  Note that the setting information in the setting file in FIG. 8 acquires a character string based on a key character string (for example, key area search character string: notification card) for specifying a key area and a key area. In other words, it can be paraphrased as setting information including a position condition (condition: lower, 1) for specifying an area.

  Next, a flowchart of value acquisition processing based on setting conditions will be described with reference to FIG.

In step S501, the PC 201 reads setting information from the setting file. The setting file to be used may be arbitrarily selected and read by the user.
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 a block selection process using the read image. This block selection is executed using a 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 by a 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 will not be described. For example, there is a technique for extracting character candidates by collating a character with a character template using pattern matching.

  By character recognition processing, 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 is 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 step S508 may be performed. That is, the present invention is not limited to the procedure for executing the determination in step S508 after performing character recognition on all blocks.

  In step S506, the PC 201 determines whether processing has been executed for all blocks. If processing has not been performed for all blocks, the process proceeds to step S507 in order to obtain a character string of a block to be processed next. If the process has been executed for all blocks, the process proceeds to step S509.

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

  In step S508, the PC 201 determines whether the acquired character string is a character string of a plurality of lines. Since it is the same as the process of step S408, it demonstrates with reference to FIG. Taking block 4 as an example, since a character string extending over five lines can be acquired, the process proceeds to step S510. Further, taking block 1 as an example, one line of character string can be acquired, so the process proceeds 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 multi-line character string.

  In step S509, the PC 201 stores the character recognition result in the memory. Since it is the same as the process of 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 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 character recognition area information. As indicated by reference numeral 701 in FIG. 7, the character string of block 4 is registered in five areas. In the area information (coordinates), the coordinates of a certain position of the character string in each line are registered.

  Note that the character recognition area information in FIG. 7 can be restated as the character recognition area obtained by the character recognition process. Step S510 is a step showing an example of a generation process for generating a character recognition area for each line when it is determined as a plurality of lines by the multi-line determination process.

  In step S511, the PC 201 acquires a search character string (see FIG. 8) in the key area of the read setting information, and searches the character recognition area information. In accordance with the search character string of the key area, a matching area is specified in the character string of the character recognition area information. Thereby, the matched area becomes the key search area. That is, it is a step showing an example of a key area specifying process for specifying a key area from the character recognition area obtained by the character recognition process according to the key character string. Further, in detail, this 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 setting information condition (for example, “below 1”), and specifies the area immediately below the key area. Based on the coordinates of the key area, an area having downward coordinates is searched and specified with reference to character recognition area information (for example, FIG. 7). This specified area becomes a value acquisition area. It should be noted that the first region and the second region are sequentially arranged from the region having the closest coordinates among the regions having the downward 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, this is a step showing an example of a value acquisition area specifying process for specifying a value acquisition area from the character recognition area in accordance with the specified key area and the position condition of the setting information.

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

  In step S511 and step S512, after specifying the key area, the area in the position condition (for example, lower 1) is specified and the value is acquired from the key area. Disappear. When a template with character recognition definition is used, an appropriate value cannot be acquired due to a pasting error by the user, but by using this process, the value of the part to be acquired should be acquired even if there is a pasting error. Is possible.

  In step S513, the PC 201 acquires the character string in 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, a 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 a display output process for outputting a character string in the specified value acquisition area.

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

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

In addition, when the output destination of a file is arbitrarily designated and output, it goes without saying that the recognition result (value) can be output to a predetermined output destination by pressing an output button (not shown). Yes.
The value to be output may be only “9876542321098” or may be output together with the area name (personal number) of 9876554321098.

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

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

  For example, when using the character recognition technology used with the template, if there are pasted documents in the application form, the recognition area will be shifted if the pasting position is shifted, and an incorrect value will be acquired. There is. In this embodiment, even if the pasting position is shifted up, down, left and right, the block area is used to specify the key area, and then the area in the position condition is specified from the key area to acquire the value. It is possible to obtain an effect that the position value is not acquired.

  It should be noted that the configuration and contents of the various data described above are not limited to this, and it goes without saying that the various data and configurations are configured according to the application and purpose. For example, in this embodiment, as a condition for specifying the value acquisition area, the condition is given in units of areas in the form of “one” lower area. However, the relative position from the key area is given. It may be. That is, any configuration may be used as long as it has a position condition from the key area for specifying the value acquisition area.

  Although one embodiment has been described above, the present invention can take an embodiment as, for example, a system, apparatus, method, program, or recording medium, and specifically includes a plurality of devices. The present invention may be applied to a system including a single device. For example, the structure implement | achieved in a cloud environment may be sufficient. In this case, the configuration file creation tool is executed on the server on the cloud environment.

  Moreover, the program in this invention is a program which a computer can perform the processing method of the flowchart shown in FIGS. Note that the storage medium may be configured to store a program capable of executing the processing methods of FIGS. 3 to 5 by the computer. The program in the present invention may be a program for each processing method of each apparatus in FIGS.

  As described above, a recording medium that records a program that implements the functions of the above-described embodiments is supplied to a system or apparatus, and a computer (or CPU or MPU) of the system or apparatus stores the program stored in the recording medium. It goes without saying that the object of the present invention can also be achieved by executing the reading.

  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.

  As a recording medium for supplying the program, for example, a flexible disk, hard disk, optical disk, magneto-optical disk, CD-ROM, CD-R, DVD-ROM, magnetic tape, nonvolatile memory card, ROM, EEPROM, silicon A disk, solid state drive, or the like can be used.

  Further, by executing the program read by the computer, not only the functions of the above-described embodiments are realized, but also an OS (operating system) operating on the computer based on an instruction of the program is actually It goes without saying that a case where the function of the above-described embodiment is realized by performing part or all of the processing and the processing is included.

  Furthermore, after the program read from the recording medium is written to the memory provided in the function expansion board inserted into the computer or the function expansion unit connected to the computer, the function expansion board is based on the instructions of the program code. It goes without saying that the case where the CPU or the like provided in the function expansion unit performs part or all of the actual processing and the functions of the above-described embodiments are realized by the processing.

  Further, the present invention may be applied to a system composed of a plurality of devices or an apparatus composed of a single device. Needless to say, the present invention can be applied to a case where the present invention is achieved by supplying a program to a system or apparatus. In this case, by reading a recording medium storing a program for achieving the present invention into the system or apparatus, the system or apparatus can enjoy the effects of the present invention.

Furthermore, by downloading and reading a program for achieving the present invention from a server, database, etc. on a network using a communication program, the system or apparatus can enjoy the effects of the present invention.
In addition, all the structures which combined each embodiment mentioned above and its modification are also included in this invention.

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

Claims (11)

An information processing apparatus that obtains and outputs a value from image data including a plurality of areas having different attributes,
Character area specifying means for specifying a character area written with a plurality of character strings in the image data;
Extracting a character string area of each of a plurality of character strings in the character area, and specifying a key character string in a plurality of locations in the extracted area ; and
Acquisition means for acquiring a value in the extracted area that matches a position condition associated in advance for each key character string specified at the plurality of locations to be output;
Stored as setting information for acquisition to be output, and the position condition associated in advance for each key character string, the relative direction between the key character string and the value and the relative from the key character string Setting means for setting the acquisition position of the value when looking at a specific direction with a identifiable number;
The information processing apparatus comprising: a. A plurality of line determination means for determining whether or not a character string in the specified character region is a character string of a plurality of lines;
A generation unit that generates a character area for each line when the plurality of lines are determined by the plurality of lines determination unit;
The key character string specifying means extracts a character string area of each of a plurality of character strings in a character area for each line generated by the generating means , and specifies a key character string at a plurality of locations in the extracted area. The information processing apparatus according to claim 1 . The character region, the information processing apparatus according to claim 1 or 2, characterized in that a region obtained by the block selection. The setting means receives the designation of the area having the key character string and the area having the value in the extracted area, and determines the position condition associated with the key character string as the key character string and the value. The number is specified by a number that specifies the acquisition position of the value when the relative direction is viewed from the key character string and the relative direction. The information processing apparatus described. Display means for displaying the specified character region to generate the setting information;
A first receiving unit that receives designation of an area having the key character string from a character area displayed by the display unit;
A second accepting unit for accepting designation of the region having the value from the character region displayed by the display unit ;
The information processing apparatus according to claim 4, further comprising a. A region with a key character string specified by the first receiving means, and further comprising an identification display means for identifiably displaying the a specified value range by the second reception means The information processing apparatus according to claim 5 . An information processing apparatus that obtains and outputs a value from image data including a plurality of areas having different attributes,
Character area specifying means for specifying a character area written with a plurality of character strings in the image data;
Extracting a character string region of each of the plurality of character strings in the character region, and specifying a key character string in the extracted region ; and
An acquisition unit configured to acquire the entire string in the region that matches the pre-correlated obtained positional condition before Kitoku boss was a key character string,
When the specified key character string is included in the entire acquired character string, the key character string is excluded from the entire acquired character string in accordance with an output condition set in advance for the value to be output. An information processing apparatus comprising: a value acquisition unit that acquires a value to output the value . A processing method of an information processing apparatus that acquires and outputs a value from image data including a plurality of areas having different attributes,
A character region specifying step for specifying a character region written in a plurality of character strings in the image data;
A key character string specifying means for extracting a character string area of each of the plurality of character strings in the character area, and specifying a key character string in a plurality of locations in the extracted area ; and
An obtaining step for obtaining, to output, a value in the extracted area that matches a position condition associated in advance for each key character string identified at the plurality of locations ;
The setting means stores the setting information for acquisition to be output, and the position condition associated in advance for each key character string includes the relative direction of the key character string and the value and the key character. A setting step for setting the acquisition position of the value when the relative direction is viewed from a column with a number that specifies the acquisition position;
Processing method comprising: a. A program that can be executed in an information processing apparatus that acquires and outputs a value from image data including a plurality of areas having different attributes,
The information processing apparatus;
Character area specifying means for specifying a character area written with a plurality of character strings in the image data;
Extracting a character string area of each of a plurality of character strings in the character area, and specifying a key character string in a plurality of locations in the extracted area ; and
Acquisition means for acquiring a value in the extracted area that matches a position condition associated in advance for each key character string specified at the plurality of locations to be output ;
Stored as setting information for acquisition to be output, and the position condition associated in advance for each key character string, the relative direction between the key character string and the value and the relative from the key character string A program for functioning as a setting means for setting an acquisition position of the value when a specific direction is viewed in a identifiable number . A processing method of an information processing apparatus that acquires and outputs a value from image data including a plurality of areas having different attributes,
A character region specifying step for specifying a character region written in a plurality of character strings in the image data;
A key character string specifying means for extracting a character string area of each of the plurality of character strings in the character area, and specifying a key character string in the extracted area; and
An acquisition step of acquiring an entire character string in an area that matches a position condition previously associated with the identified key character string;
When the value acquisition means includes the specified key character string in the entire acquired character string from the area, the acquisition is performed according to an output condition set in advance for each of the values to be output. A value acquisition step of acquiring a value obtained by removing the key character string from the entire character string to output the value;
A processing method comprising: A program that can be executed in an information processing apparatus that acquires and outputs a value from image data including a plurality of areas having different attributes,
The information processing apparatus;
Character area specifying means for specifying a character area written with a plurality of character strings in the image data;
Extracting a character string region of each of the plurality of character strings in the character region, and specifying a key character string in the extracted region; and
Obtaining means for obtaining an entire character string in an area that matches a position condition previously associated with the identified key character string;
When the specified key character string is included in the entire acquired character string, the key character string is excluded from the entire acquired character string in accordance with an output condition set in advance for the value to be output. Value acquisition means for acquiring a value to output the value
Program to function as.

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