JP2018085093A - Information processing apparatus, control method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a mechanism capable of recognizing whether an item for which a value has been acquired or an item having caused an error at the time of acquiring a value is an item to be acquired.SOLUTION: The apparatus registers acquisition conditions including a key character string and a positional condition beforehand, and specifies an area on the basis of the key character string and the positional condition. If an attempt to acquire a character string from the specified area is failed, the apparatus determines whether the character string has been acquired from another area in the same line. If it is determined that the character string has been successfully acquired, the apparatus determines that the specified area is an area to acquire a value. Further, the apparatus determines whether the area from which the value has been acquired is an area to acquire the value.SELECTED DRAWING: Figure 13

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, a method has been proposed in which a form such as a report or a slip is captured by a scanner, and the value of a necessary item is recognized and acquired from the captured data using an OCR (Optical Character Recognition) technology. .

  In particular, it is important to determine whether a value is acquired from a location to be acquired for an item that needs to be acquired.

  In Patent Literature 1, the required information is obtained by comparing the position where the item name to be searched is displayed with the position where other item names of the same category are displayed for the specified item name. A method for determining whether or not is described.

JP 2014-186435 A

  However, the method described in Patent Document 1 is a method for determining whether or not necessary information is obtained based on a difference between display positions of a plurality of item names (character strings) defined in advance. It cannot be applied to items that cannot be pre-defined.

  Further, the method described in Patent Document 1 cannot cope with a non-standard form in which the category classification of items in the form changes.

  When acquiring the value of an item from a form or the like, it is particularly useful for error correction to indicate whether an item that could not be acquired due to an error was an item that should be acquired.

  In addition, presenting whether or not each item is an item to be acquired based on the result obtained once from a form or the like is effective when specifying an item for which a value is to be acquired for an atypical form. is there.

  Accordingly, an object of the present invention is to provide a mechanism capable of recognizing whether an item for which a value has been acquired or an item in which an error has occurred is an item to be acquired. .

  The present invention is an information processing apparatus comprising an acquisition condition storage means for storing a key character string and a position condition, the specifying means for specifying an area based on the key character string and the position condition, and the specified An acquisition unit that acquires a character string from the area, and a determination unit that determines whether a character string has been acquired in another area in the same sequence as the area when the acquisition unit cannot acquire a character string; When the determination unit determines that the character string has been acquired, the determination unit includes a determination unit that determines that the specified region is a region from which a value is to be acquired.

  According to the present invention, it is possible to recognize whether an item for which a value has been acquired or an item in which an error has occurred is an item to be acquired.

It is a figure which shows the structural example of an image processing system. 2 is a block diagram illustrating a schematic configuration of a PC 201. FIG. It is a flowchart which shows the outline of the image processing performed with an image processing system. It is a flowchart of a value acquisition process. It is a data figure 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 diagram which shows an example of a setting file. It is a data diagram 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 at the time of displaying on a document image as character recognition area information as a selection area. It is a figure which shows an example of the screen which displays a recognition result. It is a figure which shows an example of the screen which displays a recognition result. It is an image figure explaining an example of value acquisition processing. It is a flowchart of the value acquisition process of 2nd Embodiment. It is an image figure which shows an example of the document image to read. It is a figure which shows an example of the screen which displays the recognition result in 2nd Embodiment.

<First Embodiment>
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. A flowchart showing the detailed processing of FIG. 3 will be described with reference to FIG.

  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.

  In block selection processing, image data of one page read as shown in FIG. 9 is recognized as a block for each object, each block is determined as an attribute such as character / drawing / photo / line / table, and different attributes are set. 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 obtained as a table area, the area where irregular pixel blocks are scattered is obtained as a photo area, and other arbitrary block selection processes are used. FIG. 5 shows block information for each obtained block. 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 each line 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. Block 4 in FIG. 5 is divided and registered as 13 areas.

  Next, in accordance with the acquisition condition 701 set in the setting file (FIG. 7), an area for acquiring a value is specified. For this specification, 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, HDL cholesterol) of the key area in the acquisition condition 701, and the key area is searched from the key area using the search direction (for example, horizontal). The horizontal area is specified as the value acquisition area. At this time, if the condition of the value format (for example, numbers, three digits) is not met, the area adjacent to the search direction is further specified as the value acquisition area.

  At this time, if a plurality of search character strings in the setting file are registered in a comma-separated manner as in 702, if there is no character string that matches the first search character string, the second search character string (for example, triglyceride) )

  If a plurality of setting file search directions are registered in a comma-separated manner as in 703, the second search direction (for example, the bottom) is searched when there is no value that matches the first search direction.

  Further, in addition to the above search direction, columns to be excluded and columns to be prioritized are determined by the exclusion column setting conditions 801 and priority column setting conditions 803 shown in FIG. In this embodiment, the exclusion column and the priority column are described as a series of items arranged vertically. However, depending on the format of the form or the like, a series of items arranged side by side (may be called an exclusion row or a priority row). Also good.

  The exclusion column setting condition 801 is determined to display information different from the current test result, such as the test reference value and the previous test value, in the column in which the set character string 802 is displayed. This is a condition for setting the target.

  The priority column setting condition 803 is a condition for setting a target for which it is determined that the current examination result is displayed in the column in which the set character string 804 is displayed.

  And the character string (number) registered in the area | region specified as a value acquisition area is acquired as this test result.

  In step S302, the PC 201 displays the character string (number) acquired in step S301 on the display 105 as the current examination result. Examples of display on the display are shown in FIGS. 12 and 13, and the respective screens will be described later. 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.

  The value acquisition process in step S301 will be described with reference to FIG.

  In step S401, the PC 201 reads the acquisition condition 701, the exclusion column setting condition 801, and the priority column setting condition 803 from the setting file. Each condition is as described in step S301. The setting file to be used may be arbitrarily selected and read by the user.

  In step S402, the PC 201 reads an image captured from the scanner or an image stored in a predetermined folder.

  In step S403, the PC 201 executes block selection processing using the read image. This block selection is executed using a block selection library. The block selection process is as described 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 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 S406. However, character recognition may be performed for each block, and the determination in step S406 may be performed. That is, the present invention is not limited to the procedure for performing the determination in step S406 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. If a plurality of lines of character strings have been acquired, the process proceeds to step S410. If a single line of character string is acquired, the process proceeds to step S409.

  In step S409, the PC 201 stores the character recognition result in the memory. The character recognition result is registered in the character recognition area information of FIG. In FIG. 6, 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 the area for each line to generate and register character recognition area information. As indicated by reference numeral 601 in FIG. 6, the character string of block 4 is registered in 13 areas. In the area information (coordinates), the coordinates of a certain position of the character string in each line are registered.

  In step S411, the PC 201 obtains the read character string (see FIG. 7) of the key area of the obtained acquisition condition 701, 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.

  In step S412, the retrieval character string (see FIG. 8) of the read exclusion string setting condition 801 is acquired, the character recognition area information is retrieved, and the area where the values match is specified. At this time, if the area where the values match is a table area, the column in which the table exists is defined as an “excluded column”.

  When a plurality of search character strings for the exclusion string setting condition 801 are registered, the above is performed for all search character strings.

  If the portion that matches the search character string in the exclusion string is not in the table format, an area in the same sequence as the X coordinate of the own character string may be determined as the “exclusion string”. Further, when the exclusion column is arranged side by side, the determination may be made based on the Y coordinate.

  In step S413, a retrieved character string (see FIG. 8) of the read priority column setting condition 803 is acquired, character recognition area information is retrieved, and an area with a matching value is specified. At this time, if the area where the values match is a table area, the column in which the table exists is set as the “priority column”.

  When a plurality of search character strings for the priority column setting condition 803 are registered, the above is performed for all the search character strings.

  If the portion that matches the search character string of the priority column is not in the table format, an area in the same sequence as the X coordinate of the own character string may be determined as the “priority column”. Further, when the priority columns are arranged side by side, the determination may be made based on the Y coordinate.

  In step S414, the PC 201 acquires the key area and the search direction (for example, right) of the acquisition condition 701, and specifies an area one right from the key area. Based on the coordinates of the key area, an area having right-direction coordinates is searched and specified with reference to character recognition area information (for example, FIG. 6). This specified area becomes a value acquisition area. It should be noted that, among the areas having rightward coordinates, the first area and the second area are sequentially arranged from the area having the closest coordinates. When there are a plurality of key areas, a value acquisition area is similarly specified according to each condition.

  When a “priority column” exists in the value search direction when acquiring a value acquisition region as described above, the column (for example, 1101 in FIG. 11) is used as a candidate for an acquisition region for acquiring a value preferentially. To do. If there are a plurality of “priority columns”, values are acquired as candidates in the priority order.

  Further, if an “excluded column” exists in the value search direction, that column (for example, 1102 in FIG. 11) is excluded from the value acquisition area.

  For example, in the case of the report example 1401 shown in FIG. 14, when acquiring the value of the key item “HDL cholesterol”, the column 1402 in which the reference value is displayed does not include a character string representing the exclusion column. Although not determined, the column 1403 including the character string “current” is determined to be a priority column, the column 1402 is skipped, and the region of the character string “51” in the column 1403 is set as a value acquisition region.

  In the case of the report example 1411 illustrated in FIG. 14, the column 1412 including the character string “reference value” is determined as an excluded column, and the character strings “40 to 86” in the excluded column in the search direction are excluded from the target. The area of the character string “51” in the column 1413 in which the exclusion column is skipped is set as a value acquisition region. Note that the column 1413 does not include a character string representing a priority column, and thus is not determined as a priority column.

  In step S415, the PC 201 acquires a value from the acquisition area of the value specified in step S414. If the character string acquired at this time is different from the value format of the read acquisition condition 701 (see FIG. 7), the next character string in the search direction (see FIG. 7) of the read acquisition condition 701 is acquired. This is repeated until the character string that matches the value format can be acquired or until the end of the same table.

  In step S416, the PC 201 determines whether or not a value can be acquired. If the value can be acquired, step S418 is performed. If the value cannot be acquired, step S417 is performed.

  In step S417, the PC 201 determines whether or not values have been acquired for all the search directions set in the search direction (see FIG. 7) of the read acquisition condition 701. Step S418 is performed. If not, step S414 is performed with the search direction set to the next direction.

  In step S418, the PC 201 executes step S419 when values are acquired for all recognized key items, and acquires values (step S414) when there are key items for which values have not been acquired. To Step S417).

  In step S419, it is determined whether or not the area for which a value could not be acquired in step S415 among the areas specified as the value acquisition area was an area where a value should be acquired. The determined result is reflected when the result is displayed in step S302.

  Specific processing will be described for a case where a report or the like captured as an image is in a table format. In step S415, if an error occurs with respect to a key item and a value cannot be acquired for the key item, another value in which the value can be normally acquired in the same column for the area from which the value is to be acquired. If the acquisition area exists, it is determined as “priority area”. Conversely, if there is no other value acquisition area in which the value can be normally acquired in the same column, it is determined as a “non-priority area”. In other words, since there is a high possibility that the column where there is a value acquisition area where the value can be acquired normally is the column where the items to be acquired are arranged, the value should be acquired even for the area where an error occurred in the same column Judged as an area.

FIG. 13 shows an example of the determination result. In FIG. 13, for the key item “ALT (GPT)”, two locations 1302 and 1303 are specified as the value acquisition areas, and the value acquisition is an error in both cases. In the value acquisition area 1302, since values can be normally acquired in the value acquisition area in the same column for other key items “AST (GOT)” and the like, it is determined as a “priority area”, that is, a key area from which a value is to be acquired. The On the other hand, in the value acquisition area 1303, since there is no value acquisition area in which values can be normally acquired in the same column for other key items, it is determined as a “non-priority area”, that is, a key area for which no value needs to be acquired. The
In addition, if the report or the like imported as an image is not in a table format, if there is another key item whose value can be acquired in an area having an X coordinate close to the X coordinate of the key area in which an error occurs, the “priority area” ", It may be determined as a" non-priority area "if it does not exist. In the case of a table format, the area may be specified by a row instead of a column, and in the case of a table format, it may be specified by a Y coordinate.

  Next, the screen displayed by the value output process in step S302 will be described.

  FIG. 12 is a screen image of a recognition result screen 1201, which is an example of a screen displayed in step S302.

  The recognition result screen 1201 displays the read image image 1202 on the left side and a recognition result list 1203 for each inspection item on the right side.

  In step S415, if there is an item whose value cannot be acquired, such as when the key area is blank or there is no character string that matches the value format, the item is highlighted as an error item (1204, 1205). If there is an error in the recognition result, the user can input a correction value in the correction input area (1206). When input to the correction input area, the input value is a registered value.

  Further, the priority column and the exclusion column specified by the priority column setting condition 803 and the exclusion column setting condition 801 may be displayed so as to be identifiable.

  FIG. 13 is a screen image of a recognition result screen 1301, which is an example of a screen reflecting the determination result in step S419.

  Since the value acquisition area 1302 cannot acquire a value in step S415 and is determined as a “priority area” in step S419, the value acquisition area 1302 and the recognition result 1304 of the value acquisition area 1302 are highlighted.

  On the other hand, since the value acquisition area 1303 cannot acquire a value in step S415 and is determined as a “non-priority area” in step S419, the recognition result 1305 of the value acquisition area 1303 and the value acquisition area 1303 is “priority area”. "Is displayed in a different format.

  The recognition result screens 1201 and 1301 include an output button, and outputs a recognition result and a correction result if a value is corrected by the user to a CSV file. When a plurality of images are read, value acquisition and confirmation are executed for all images, and when the output button is pressed for the last image, the values are output collectively to the CSV file. . The format of the output file is an example and is not limited.

Based on the above, it is possible to recognize whether or not an item that has an error when acquiring a value is an item to be acquired.
<Second Embodiment>
Hereinafter, a second embodiment of the present invention will be described. Note that description of the same contents as in the first embodiment is omitted.

  FIG. 15 is a flowchart showing a detailed flow of the value acquisition processing in step S301 (corresponding to FIG. 4 of the first embodiment). FIG. 16 shows an image of a document image read in this example, and FIG. 17 shows a screen image for displaying a recognition result, which is used for explanation each time.

Steps S401 to S410 are the same as those in FIG. However, it is not necessary to read the exclusion column setting condition 801 and the priority column setting condition 803 in step S401. As subsequent processing, processing from step S1501 will be described. In step S1501, the PC 201 repeatedly executes the following processing for each block divided in step S301. The reason why the process is performed for each block is that the arrangement of display items may change depending on the block.

  In step S1502, the PC 201 acquires the key area search character string (see FIG. 7) of the read acquisition condition 701 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.

  In step S1503, the PC 201 acquires the key area and the search direction of the acquisition condition 701 (for example, right. In this example, one type of search direction is used), and searches the area sequentially from the key area to the search direction. , One value acquisition area is specified. As an area search method, areas having coordinates in the search direction are sequentially searched with reference to character recognition area information (for example, FIG. 6) based on the coordinates of the key area. This searched area becomes a value acquisition area, and the areas acquired in order in the search direction are called columns.

  In step S1504, the PC 201 acquires a value from the acquisition area of the value specified in step S1503. If the acquired character string matches the value format (see FIG. 7) of the acquired acquisition condition 701, it is determined as an acquisition candidate, and if it is different from the value format, it is determined as an exclusion candidate.

  In the recognition result screen 1701 of FIG. 17, an image preview 1702 is displayed, and items that are acquisition candidates are displayed in a shaded manner (1703). The test items “HDL cholesterol” and “LDL cholesterol” are determined as acquisition candidates in the second and third columns, and the test item “urine protein” is determined from the second to fourth columns as acquisition candidates. The other items are determined as exclusion candidates.

  In step S1505, it is determined whether or not the processing in steps S1503 and S1504 has been performed for all the areas (columns) searched in step S1503. If so, the process proceeds to step S1506. Returning to step S1503, the next area (column) is processed.

  In step S1506, the PC 201 determines whether or not the processing of steps S1502 to S1505 has been performed on all recognized key items. If it has been performed, the process proceeds to step S1507. If not, step S1502 is performed. Return to and process the next key item.

  In step S1507, the PC 201 identifies an excluded column, that is, a column that is not acquired as an item value, based on the processing results up to step S1506. As an example of the specifying method, if the ratio of exclusion candidates exceeds a predetermined value (for example, 40%) as a result of the processing up to step S1506, it is identified as an exclusion column. Here, the same column indicates a region having the same X coordinate range when the target block is in the tabular format, and a region having an approximate X coordinate range when the target block is not in the tabular format. In the case of a table format in which the matrix is inverted, the determination is made based on the Y coordinate range.

  In the recognition result screen 1701 in FIG. 17, the second column (“normal value” column) is an exclusion candidate for the examination items “HDL cholesterol” and “LDL cholesterol” (two for three examination items are exclusion candidates). The second column is determined to be an excluded column, and the recognition result column 1704 displays that it is an excluded column.

  In step S1508, the PC 201 identifies a value acquisition candidate column, that is, a column to be acquired as an item value, based on the processing results up to step S1506. As an example of the specifying method, if the ratio of acquisition candidates is equal to or greater than a predetermined value (for example, 60%) as a result of the processing up to step S1506, the value acquisition candidate string is specified.

  In the recognition result screen 1701 in FIG. 17, the third column and the fourth column (“XX year” column, “YY year” column) for all the inspection items “3” are acquisition candidates (3 for three inspection items). The third column and the fourth column are determined as the value acquisition candidate columns, and the recognition result column 1704 indicates that they are value acquisition candidate columns.

  In step S1509, the PC 201 displays a recognition result screen 1701, and accepts designation of a value acquisition sequence from the value acquisition candidate sequence by the user. In the recognition result screen 1701, a selection check box 1705 is displayed above the determined value acquisition candidate column, the column selection check box 1705 specified by the user as the value acquisition column is checked, and an acquisition column determination button 1706 is displayed. By pressing, a value acquisition column is determined (third column in the screen example), and the item value of the column is determined as a value acquired for each inspection item.

  In step S1510, the PC 201 completes the repetitive processing if the processing from steps S1502 to S1509 is performed on all the blocks, otherwise returns to step S1501 to process the next block.

  Above, description of the value acquisition process by 2nd Embodiment is complete | finished.

  As described above, since the exclusion sequence and the value acquisition candidate sequence are presented based on the recognition result, the value acquisition sequence can be determined efficiently.

  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.

  Further, the program in the present invention is a program that allows a computer to execute the processing method of the flowchart shown in the figure. Note that the storage medium may be configured to store a program capable of executing the processing method illustrated in the drawing. The program in the present invention may be a program for each processing method of each apparatus shown in the figure.

  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.

201 PC
202 Scanner 203 Printer 204 Network

Claims (10)

An information processing apparatus comprising acquisition condition storage means for storing a key character string and a position condition,
A specifying means for specifying an area based on the key character string and the position condition;
Obtaining means for obtaining a character string from the identified area;
A determination unit that determines whether or not a character string can be acquired in another region in the same arrangement as the region when the acquisition unit cannot acquire a character string;
An information processing apparatus comprising: a determination unit that determines that the specified region is a region from which a value is to be acquired when it is determined that the character string can be acquired by the determination unit.   The information processing apparatus according to claim 1, further comprising a display unit configured to display an identifiable area for which the value should have been acquired by the determination unit. An information processing apparatus including an acquisition condition storage unit that stores a key character string, a position condition, and a value format condition,
A specifying means for specifying an area based on the key character string and the position condition;
Obtaining means for obtaining a character string from the identified area;
A determination means for determining whether or not the character strings acquired from the region of the same sequence satisfy the value format condition;
An information processing apparatus comprising: a display control unit configured to identify and display that the region in the same sequence is not a region for which a value is to be acquired when the determination unit determines that it is not suitable.   4. The display control unit according to claim 3, wherein, when the determination unit determines that the display unit is suitable, the display control unit identifies and displays that the region in the same sequence is a region candidate for which a value is to be acquired. Information processing device.   The information processing apparatus according to claim 4, wherein the display control unit receives designation of a region from which a value is to be acquired from among regions that are identified and displayed as candidates for the region from which the value is to be acquired.   The information processing apparatus according to claim 1, wherein the arrangement is a table column or row.   The information processing apparatus according to claim 1, wherein the arrangement is a certain range of vertical arrangement or horizontal arrangement. An information processing apparatus comprising acquisition condition storage means for storing a key character string and a position condition,
A specifying step for specifying a region based on the key character string and the position condition;
An acquisition step of acquiring a character string from the specified area;
A determination step for determining whether or not a character string can be acquired in another region in the same sequence as the region when the determination unit cannot acquire a character string in the acquisition step;
An information processing apparatus comprising: a determination step of determining that the specified region is a region from which a value is to be acquired when the determination unit determines that the character string can be acquired in the determination step; Control method. A method for controlling an information processing apparatus including an acquisition condition storage unit that stores a key character string, a position condition, and a value format condition,
A specifying step for specifying a region based on the key character string and the position condition;
An acquisition step of acquiring a character string from the specified area;
A determining step for determining whether or not the character strings acquired from the same line of regions meet the value format condition;
And a display control step for identifying and displaying that the region in the same sequence is not a region from which a value is to be acquired when it is determined in the determination step that the display control unit does not conform. Control method of the device.   The program for functioning an information processing apparatus as a means of any one of Claims 1 thru | or 7.

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