JP5958180B2 - Text proofing apparatus, text proofing method, and text proofing program - Google Patents

Description

  The present invention relates to the technical field of DTP (Desktop publishing).

  Conventionally, layout editing work for printed materials such as flyers, pamphlets, and catalogs has been performed using a computer, which is called DTP. One of the points to keep in mind when editing with DTP is a typo. Typing mistakes include typing mistakes (for example, typing “03-1234-5678” where you should type “03-1234-5679”), or typing incorrectly. Two cases of mistakes (for example, mistakes of typing the phone number of the B store at the place where the phone number of the A store should be typed) are conceivable. Such a typo is likely to occur for simple character strings that are not words or sentences. For example, in the case of a leaflet, a telephone number or a fax number described next to the name of the store where the leaflet is placed corresponds to this, and in the case of a catalog, the product ID or specification table of the product corresponds to this.

  The editor conducts a check inspection for typographical errors every time calibration work is performed. As a confirmation method, there is a method of collating a corresponding portion of list data in which correct information is described and edit data (hereinafter referred to as DTP data). If it is a flyer, visually check the list data describing the correct store name and telephone number and the leaflet printed out from the DTP data. However, this method has problems such as a long time for visual inspection and a risk of oversight.

  With respect to such a problem, Patent Document 1 discloses a technique for warning a location when a character in DTP data is changed.

JP-A-9-319742

  However, the technique described in Patent Document 1 has a problem that it is not effective when a typo has already occurred during the initial production of DTP data.

  The present invention has been made in view of such problems and the like, and can check text in editing work by DTP without printing out the list data and DTP data so as not to be overlooked. It is an object of the present invention to provide a text proofing device and the like.

  In order to solve the above-mentioned problem, the invention according to claim 1 is characterized in that text input to the text frame included in a layout image in which a text frame corresponding to each item related to the target is arranged for each target. A text proofing apparatus for performing proofreading, which stores storage table data in which correct text to be input in a text frame corresponding to each item is described for each target, and corresponds to each item to be proofread The extraction condition acquisition means for acquiring the extraction condition for extracting the text frame to be performed, and the distance condition set to determine whether the distance between the text frames corresponding to each item to be calibrated is appropriate A distance condition acquisition means for acquiring the image, and satisfying the acquired extraction condition from the text frames in the layout image. A first extraction means for extracting a text frame; and a text frame in which text including any text described in the list data is input from the text frames extracted by the first extraction means. A second extracting means for extracting, and a text frame extracted by the second extracting means for each target, and the distance between the text frames corresponding to the selected items satisfies the acquired distance condition And determining means for determining that the text corresponding to each item related to the selected target is correctly input.

  The invention according to claim 2 is the text proofreading apparatus according to claim 1, and includes any text described in the list data among the text frames extracted by the first extraction means. And a second determination means for determining that the text is not correctly input for a text frame in which no text is input.

  The invention according to claim 3 is the text proofreading apparatus according to claim 2, wherein highlighting means for highlighting the text frame determined by the second determination means that the text is not correctly input, Is further provided.

  Invention of Claim 4 is a text proofreading apparatus as described in any one of Claim 1 thru | or 3, Comprising: It respond | corresponds to the item which performs the said proofread in the text frame extracted by the said 2nd extraction means. And a third determination means for determining that text corresponding to some items to be proofread is not input for an object for which no text frame exists.

  The invention according to claim 5 is the text proofreading apparatus according to claim 4, wherein text is input for an object that has been determined by the third determination means that no text has been input. It is further provided with a notifying means for notifying that there is no item.

  Invention of Claim 6 is a text proofreading apparatus as described in any one of Claim 1 thru | or 5, Comprising: The text frame extracted by the said 2nd extraction means is selected for every said object, The said Second notification means for notifying that there is an error in the text input position for the selected target when the distance between the text frames corresponding to each selected item does not satisfy the acquired distance condition Are further provided.

  According to a seventh aspect of the present invention, there is provided a text by a text proofing apparatus that proofreads text input to the text frame included in a layout image in which a text frame corresponding to each item related to the target is arranged for each target. In the proofreading method, an extraction condition obtaining step for obtaining an extraction condition for extracting a text frame corresponding to each item to be proofread, and a distance between the text frames corresponding to each item to be proofread are appropriate. A distance condition acquisition step of acquiring a distance condition set to determine whether or not there is, and a first extraction step of extracting a text frame satisfying the acquired extraction condition from the text frames in the layout image From the text frame extracted by the first extraction means, each item is associated with each item. A second extraction step of extracting a text frame in which text including any text stored in storage means for storing list data in which correct text to be input in the text frame is described; The text frame extracted by the second extraction means is selected for each target, and the selected text frame is selected when the distance between the text frames corresponding to the selected items satisfies the acquired distance condition. And a determination step of determining that the text corresponding to each item related to the object is correctly input.

  The invention according to claim 8 is included in a text proofing apparatus for proofreading text input to the text frame included in a layout image in which a text frame corresponding to each item related to the target is arranged for each target. Extraction condition acquisition means for acquiring an extraction condition for extracting a text frame corresponding to each item to be proofread, whether a distance between text frames corresponding to each item to be proofread is appropriate Distance condition acquisition means for acquiring a distance condition set to determine whether or not, first extraction means for extracting a text frame satisfying the acquired extraction condition from text frames in the layout image, the first Text corresponding to each item for each target from the text frame extracted by the extracting means Second extraction means for extracting a text frame in which text including any text stored in storage means for storing list data in which correct text to be input in the frame is described; When the text frame extracted by the extraction unit is selected for each target and the distance between the text frames corresponding to each selected item satisfies the acquired distance condition, the text frame is related to the selected target. A text proofing program that functions as a determination unit that determines that the text corresponding to each item is correctly input.

  According to the present invention, the text frame corresponding to the item to be proofread is extracted, and it is determined whether the text described in the list data is correctly input for each target and is arranged with an appropriate distance. You can check text in editing work by DTP without printing out the list data and DTP data so that there is no oversight. Further, it is possible to check whether the text described in the list data is input at an incorrect position.

It is a block diagram which shows an example of a structure of the editing apparatus 1 in embodiment. It is a figure which shows an example of a structure of the list data in embodiment. It is a figure which shows the example of a screen at the time of setting the extraction conditions and setting conditions in embodiment. It is a figure which shows an example of the structure in the shop contact part 31 in embodiment. It is a figure which shows an example of a structure of the text frame list | wrist in embodiment. It is an example figure for demonstrating the distance D between the text frames in embodiment. It is a figure which shows an example of the flowchart of the text proofreading process by the control part 11 in embodiment. It is a figure which shows an example of a structure of the intermediate | middle OK list | wrist in embodiment. It is a figure which shows an example of a structure of the 1st error list in embodiment. It is a figure which shows an example of a structure of the 2nd error list in embodiment. It is a figure which shows an example of a structure of the OK list | wrist in embodiment. It is a figure which shows an example of a structure of the 3rd error list | wrist in embodiment. It is a figure for demonstrating an example of the output format of the check result in embodiment. It is an example figure for demonstrating the distance D between the text frames in a modification.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. This embodiment is an embodiment in which the present invention is applied to an editing apparatus.

  The editing device of this embodiment (an example of “text proofing device”) has a function of checking whether the store name and the telephone number of the store that are listed in the leaflet edited by DTP are correctly input. Yes. Specifically, the editing device checks by comparing the DTP data of the leaflet with the list data in which the correct store name and telephone number of each store are described. At this time, the editing device checks whether the location where the store name is posted and the location where the phone number is posted are within an appropriate distance, so that the location of the store name or phone number is correct. To check.

  Next, the configuration of the editing apparatus 1 will be described with reference to FIG. The editing apparatus 1 includes a control unit 11, a storage unit 12, an interface unit 13, a display unit 14, and an operation unit 15.

  The storage unit 12 includes, for example, a hard disk drive (HDD) and stores various programs such as an operating system and application programs. In particular, the storage unit 12 of the present embodiment stores a DTP application program (hereinafter referred to as “DTP application”) that realizes editing by DTP. The various programs may be acquired from other server devices via a network, or may be a CD (Compact Disc), a DVD (Digital Versatile Disc), a USB (Universal Serial Bus) memory, or the like. You may make it read what was recorded on the recording medium.

  The storage unit 12 (an example of “storage means”) stores the list data shown in FIG. 2 and the DTP data of the leaflet edited by the DTP application. Similar to the program, the list data and DTP data may be acquired from another server device or the like via a network, or may be read from a recording medium. Of course, the data edited by the editing apparatus 1 may be stored. In the list data, correct store names and telephone numbers are described for each store ID.

  The interface unit 13 serves as a window for data exchanged with other devices and devices. For example, the interface unit 13 performs data conversion when receiving image data taken for posting on a leaflet from a digital camera.

  The display unit 14 is configured by, for example, a liquid crystal display, and displays an operation screen or the like when the user operates the editing apparatus 1. The operation unit 15 includes, for example, a keyboard, a mouse, and the like. The operation unit 15 receives an operation by the operator and transmits an operation signal indicating the operation content to the control unit 11.

  The control unit 11 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. And the control part 11 as a computer performs a text proofreading process by reading and running the DTP application memorize | stored in the memory | storage part 12. FIG. The control unit 11 includes an extraction condition acquisition unit, a distance condition acquisition unit, a first extraction unit, a second extraction unit, a determination unit, a second determination unit, a highlight display unit, a third determination unit, a notification unit, and a second notification. Functions as a means.

  Next, various settings for performing the text proofreading process will be described with reference to FIGS. Here, a case will be described in which whether or not there is a typo in the store name and the telephone number described in the store contact section 31 in the leaflet 30 shown in FIG.

  First, the store contact section 31 will be described. As shown in FIG. 4, the store name and the telephone number described in the store contact section 31 are actually input and displayed in separate text frames 32 and 33, respectively. The frame lines of the text frames 32 and 33 are colorless and are not displayed. Each text frame provided in the flyer 30 is managed by a text frame list in the DTP data. As shown in FIG. 5, the text frame list includes the position of the text frame for each frame ID (in this embodiment, the coordinate of the upper left corner of the text frame (the coordinate system having the upper left corner of the flyer 30 as the reference point (0,0)). )) And size (horizontal length (mm) and vertical length (mm)). As shown in FIG. 6, the text frames 32 and 33 identified by the frame IDs [0001] and [0002] of the text frame list are arranged. In the present embodiment, the distance between the text frames is the shortest distance D between the sides located on the other side where the distance of each text frame is measured. In the example of FIG. 6, the distance between the text frame 32 and the text frame 33 is the side 32S located on the other side for measuring the distance of the text frame 32 and the side 33S located on the other side for measuring the distance of the text frame 33. The shortest distance D (= 1 mm).

  The user sets the extraction condition and the distance condition when performing the text proofreading process. The extraction condition is a condition for extracting a text frame in which a store name or a telephone number as a calibration item is input from text frames in which text is input in the leaflet 30. The user selects an extraction item (store name or telephone number in the present embodiment) from the extraction item drop-down list 51 provided in the extraction condition setting unit 50A at the top of the condition setting form 50 shown in FIG. Next, the user inputs text included in the text frame for the selected extraction item (such as “store” if the extraction item 1 is a store name) into the extraction condition 1 text box 52. Next, the user selects a character color set in the leaflet 30 for the selected extraction item from the extraction condition 2 drop-down list 53. In the extraction condition 2 drop-down list 53, the type of character color that can be set in the leaflet 30 (or DTP application) can be selected. Next, the user selects a font set in the leaflet 30 for the selected extraction item from the extraction condition 3 drop-down list 54. In the extraction condition 3 drop-down list 54, font types that can be set in the leaflet 30 (or DTP application) can be selected. The user sets extraction conditions 1 to 3 for each extraction item. In this embodiment, the extraction item 1 is a store name and the extraction item 2 is a telephone number.

  Next, the user uses the distance input text box 55 and the distance condition designation drop-down list 56 provided in the distance condition setting unit 50B below the condition setting form 50, and the text frame extracted by the extraction item 1, A distance condition regarding the distance of the text frame extracted by the extraction item 2 can be set. In the example of FIG. 6, since the distance D between the text frame 32 in which the store name is input and the text frame 33 in which the telephone number is input is 1 mm, the distance condition is, for example, “2 mm or less” or “1 mm just”. Etc. can be set. In the distance condition designation drop-down list 56, any of “above”, “below”, and “just” can be designated. As described above, the user sets the distance condition based on how much space between the text frames in which the store name and the telephone number of each store are entered. Thereby, when the position of the text frame in which the store name is input and the text frame in which the telephone number is input are separated, it can be determined that there has been a typo.

  Next, a text proofing process executed by the control unit 11 will be described with reference to FIGS. It is assumed that the extraction condition and the distance condition are set by the user and stored in the storage unit 12 before the processing shown in FIG. It is assumed that the DTP data and the list data shown in FIG. 2 are also stored in the storage unit 12 before processing.

  First, the control unit 11 acquires list data and extraction conditions and distance conditions set by the user from the storage unit 12 (step S1). At this time, the control unit 11 may check whether the set extraction condition and distance condition are incomplete.

  Next, the control unit 11 extracts all text frames that satisfy the extraction condition from all the text frames in the leaflet 30 (step S2). By this process, only the text frame in which the store name and the telephone number are input is extracted in the leaflet 30, for example, the text frame in which the product name, price, product information, etc. of the product is input is not extracted. Although not shown, when the number of extracted text frames is less than two, the control unit 11 displays that fact on the display unit 14 and ends the text proofing process.

  Next, the control unit 11 selects one text frame from the text frames extracted in the process of step S2 (step S3). Next, the control unit 11 determines whether or not the input value (input text) of the selected text frame includes the store name or telephone number of the list data (step S4). For example, if the input value of the selected text frame is “Ichigaya store”, the control unit 11 determines “YES” because the store name “Ichigaya” in the list data shown in FIG. 2 is included.

  At this time, if the control unit 11 determines that the input value (input text) of the selected text frame includes the store name or telephone number of the list data (step S4: YES), the frame of the text frame The ID, item classification, input value, and store ID are additionally written in the intermediate OK list shown in FIG. 8 (step S5). The control unit 11 acquires the frame ID from the text frame list, acquires the store ID from the list data, and adds each to the intermediate OK list. The item classification is information indicating whether the input value of the text frame is an item of a store name or a telephone number. For the determination of the item classification, the determination result when the text frame is extracted in step S2 can be used. For example, the control unit 11 extracts the item classification of the text frame extracted assuming that the extraction item 1 (store name) is input as “store name” and the extraction item 2 (phone number) is input. The item classification of the text frame is “telephone number”.

  On the other hand, if the control unit 11 determines that the input value (input text) of the selected text frame does not include any store name or telephone number in the list data (step S4: NO), the text The frame ID, item classification, and input value of the frame are additionally written in the first error list shown in FIG. 9 (step S6).

  When the process of step S5 or the process of step S6 ends, the control unit 11 determines whether or not all the text frames extracted in the process of step S2 have been selected (step S7). At this time, if the control unit 11 determines that all text frames have not been selected (step S7: NO), the process returns to step S3, and steps S3 to S3 are selected until all text frames are selected. The process of S7 is repeated. On the other hand, when it is determined that all the text frames have been selected (step S7: YES), the control unit 11 then selects one combination of the store name and the telephone number identified by the store ID from the list data. A group is selected (step S8).

  Next, the control unit 11 selects a text frame corresponding to the combination selected in the process of step S8 (in this embodiment, a text frame in which a store name is input and a text frame in which a telephone number is input) as an intermediate OK list. (Step S9). For example, when the combination of “Ichigaya” and “03-1111-1111” of the store ID [001] is selected in the process of step S8, the control unit 11 refers to the intermediate OK list and selects the frame ID [0001]. ] And a text frame corresponding to [0002] are specified.

  Next, the control unit 11 determines whether or not even one text frame has been identified in the process of step S9 (step S10). At this time, if the control unit 11 determines that no text frame has been specified (step S10: NO), the control unit 11 determines that the store name and the telephone number of the combination are not posted on the flyer 30, and the step The process returns to S8. On the other hand, if the control unit 11 determines that even one text frame has been specified (step S10: YES), then in the process of step S9, all items (store name and telephone number in the present embodiment) are displayed. It is determined whether or not the corresponding text frame has been identified (step S11). At this time, if the control unit 11 determines that the text frames corresponding to all items could not be specified (step S11: NO), the text frames corresponding to some items do not exist in the leaflet 30 (for example, The text frame in which the store name is input exists but the text frame in which the telephone number is input does not exist.) The frame ID, the item classification, the input value, and the store ID of the identified text frame 10 is additionally written to the second error list (step S12), and the process proceeds to step S16. On the other hand, if the control unit 11 determines that the text frames corresponding to all items have been specified (step S11: YES), the control unit 11 proceeds to the process of step S13.

  Next, the control unit 11 determines whether or not the distance D between the text frames specified in the process of step S9 satisfies the distance condition acquired in the process of step S1 (step S13). At this time, if the control unit 11 determines that the distance D between the text frames satisfies the distance condition (step S13: YES), the store ID corresponding to the combination selected in the process of step S8 and each text The frame ID, item classification, and input value of the frame are additionally written in the OK list shown in FIG. 11 (step S14), and the process proceeds to step S16. On the other hand, when the control unit 11 determines that the distance D between the text frames does not satisfy the distance condition (step S13: NO), the store ID corresponding to the combination selected in the process of step S8 and each text frame Are additionally written to the third error list shown in FIG. 12 (step S15), and the process proceeds to step S16.

  When the process of step S14 or the process of step S15 ends, the control unit 11 determines whether all combinations of the list data have been selected (step S16). At this time, if it is determined that not all combinations have been selected (step S16: NO), the control unit 11 returns to the process of step S8 and continues to steps S8 to S16 until all combinations are selected. Repeat the process. On the other hand, if it is determined that all combinations have been selected (step S16: YES), the control unit 11 outputs the check result (step S17), and ends the text proofreading process.

  Here, the output of the check result will be described. The control unit 11 outputs a check result based on the OK list, the first error list, the second error list, and the third error list. Specifically, the control unit 11 displays the check result on the display unit 14, and outputs an OK list, a first error list, a second error list, and a third error list as text data.

  A case where the check result is displayed on the display unit 14 will be described with reference to FIG. The control unit 11 acquires the store name and the telephone number based on the store ID described in the OK list (may be acquired from the list data or may be acquired from the input value of the OK data) and checked. It is displayed on the result form 70. At this time, the control unit 11 displays “OK” in the result column (in the example of FIG. 13, the case where the Ichigaya store and the Akihabara store have been written in the OK list). It is possible to grasp that there was no typographical error for the store displayed as “OK” in the result column.

  The control unit 11 makes the frame line of the text frame 81 corresponding to the frame ID described in the first error list colored and displayed thick. Thereby, the user can grasp that the text input to the text frame 81 is not described in the list data, that is, that there was a typo.

  The control unit 11 makes the frame line of the text frame 82 corresponding to the frame ID described in the second error list colored and displayed thick. At this time, it is preferable to inform the user that the type of error is different by making the color different from the border of the text frame 81. Further, the control unit 11 refers to the second error list, acquires the store name and the telephone number based on the store ID, and specifies an item different from the item identified by the item classification of the second error list. For example, if the item classification of the second error list is a store name, the control unit 11 specifies a telephone number. Then, the control unit 11 displays the acquired store name and telephone number on the check result form 70 and displays in the result column that the specified item has not been detected. For example, if the telephone number is specified, the message “No telephone number was detected.” Is displayed (in the example of FIG. 13, the store name of the Shinjuku store is shown in the second error list). ing.). Thereby, the user can grasp that there is no text frame in which an item to be posted together with the item input in the text frame 82 does not exist, that is, there is a typo. In addition, it is possible to grasp which item is to be posted by referring to the result column of the check result form 70.

  The control unit 11 makes the frame lines of the text frames 83 and 84 corresponding to the frame IDs described in the third error list colored and displayed thick. At this time, it is preferable to inform the user that the type of error is different by making the color different from the border of the text frames 81 and 82. In addition, the control unit 11 refers to the third error list, acquires the store name and the telephone number based on the store ID, and displays them on the check result form 70. At this time, the control unit 11 displays in the result column that the position of the store name or telephone number is wrong (in the example of FIG. 13, the store name and telephone number of the Kawasaki store are written in the third error list). Shows the case.) Thereby, the user can grasp that there was a typo in the text input into the text frame 83 or the text input into the text frame 84. Further, it can be understood from the result column of the check result form 70 that there is an error in the position (text frame) where the store name or the telephone number is input.

  As described above, the editing device 1 according to the present embodiment has a flyer 30 (for each store (an example of “target”)) in which a text frame corresponding to each item (store name and phone number) related to the store is arranged. The text entered in the text frame included in the “example of layout image” is proofread. Specifically, the storage unit 12 (an example of “storage unit”) stores list data in which correct text to be input in a text frame corresponding to the store name and telephone number is described for each store, and the control unit 11 (an example of “extraction condition acquisition means”, “distance condition acquisition means”, “first extraction means”, “second extraction means”, “determination means”) extracts text frames corresponding to each item to be calibrated (Step S1), and the distance condition set to determine whether the distance between the text frames corresponding to each item to be calibrated is appropriate (step S1). A text frame satisfying the acquired extraction condition is extracted from the text frames in the flyer 30 (step S2), and is described in the list data from the extracted text frame. A text frame in which text including any text is input is extracted and written in the intermediate OK list (step S4, step S5), the extracted text frame is selected for each store, and each selected item is selected. When the distance between the text frames corresponding to the above-mentioned distance condition is satisfied (step S13: YES), it is determined that the text corresponding to each item related to the selected store is correctly input. Then, the data is written into the OK list (step S14).

  According to the editing apparatus 1 of the present embodiment, a text frame corresponding to an item to be proofread is extracted, and whether the text described in the list data is correctly input for each store and whether the text is arranged at an appropriate distance is determined. Since it is determined, the text can be checked without printing out the list data and the DTP data so as not to be overlooked. Further, it is possible to check whether the text described in the list data is input at an incorrect position. Further, there is an advantage that all the proofreaders do not need to have the latest version of the list data without the trouble of printing out the digital data.

  In addition, the control unit 11 (an example of “second determination unit”) of the editing apparatus 1 according to the present embodiment includes any text described in the list data among the text frames extracted in the process of step S2. It is determined that the text is not correctly input for the text frame in which no text is input, and is written in the first error list (step S4: NO, step S6). Further, the control unit 11 (an example of “highlighting display unit”) highlights a text frame that is determined that the text is not correctly input (see the text frame 81 in FIG. 13).

  In addition, the control unit 11 (an example of “third determination unit”) of the editing apparatus 1 according to the present embodiment has a text frame corresponding to an item to be calibrated among the text frames extracted in the processes of steps S4 and S5. For a store that does not exist, it is determined that text corresponding to some items to be proofread is not input, and is written in the second error list (step S11: NO, step S12). In addition, the control unit 11 (an example of “notification means”) has an item for which no text is input for a store that has an item that is determined to have no text corresponding to some items to be calibrated. (Refer to the result column of the Shinjuku store in the check result form 70 of FIG. 13).

  In addition, the control unit 11 (an example of “second notification unit”) of the editing apparatus 1 according to the present embodiment selects the text frame extracted in the processes of step S4 and step S5 for each store, and selects each selected item. When the distance D between the text frames corresponding to the text does not satisfy the acquired distance condition, the fact that there is an error in the text input position for the selected store is notified (in the check result form 70 in FIG. 13). (See Kawasaki store results).

  The present invention is not limited to the present embodiment, and various other changes can be made.

  In the present embodiment, the calibration item is a store name and a telephone number, but other items such as a fax number, an address, a business day, and business hours may be used. The subject of the present invention can be appropriately set according to the layout image (flyer, catalog, etc.) edited by DTP. For example, a product can be set as a target. When the target is a product, if it is a flyer, the items related to the target are the product name, sales price, manufacturer name, color, product number, and the like. Further, in the case of a catalog, items related to a target include a product name, sales price, manufacturer name, color, product number, order number, weight, size, country of origin, product introduction, and the like.

  As a modification of the present embodiment, the list data, the extraction condition and the distance condition set by the user are stored in a non-display area (so-called meta area) of the DTP data, and the text is specified at the timing specified by the user. It is also possible to adopt a configuration that executes calibration processing. For example, when an execution button is provided on the operation screen of the DTP application, and the execution button is clicked by the user, the control unit 11 uses the list data stored in the non-display area in step S1 of FIG. The extraction condition and the distance condition are acquired, and subsequent processing is executed. According to this configuration, the user does not need to read the list data or set the extraction condition and the distance condition every time the text proofreading process is executed.

  Furthermore, as another modification, a case will be described in which there are three extraction items (calibration items), that is, extraction item 1 is a store name, extraction item 2 is a telephone number, and extraction item 3 is a fax number. However, the description of the same part as the case where there are two extraction items (store name and telephone number) described in the above embodiment will be omitted, and the description will focus on the differences. In the list data, a correct store name, telephone number, and fax number are described for each store ID.

  In the description of the modified example, as shown in FIG. 14, a text frame 32 in which a store name (Ichigaya store) is input, a text frame 33 in which a telephone number is input, and a text frame 36 in which a fax number is input are flyers 30. It is assumed that it is posted in each store contact section 31 of the store. Assume that the distance D1 between the text frame 32 and the text frame 33 and the distance D2 between the text frame 33 and the text frame 36 are 1 mm, respectively. At this time, the user sets the fax number as the extraction item 3 and sets the extraction conditions 1 to 3 in the extraction condition setting unit 50A of the condition setting form 50. In addition, in the distance condition setting unit 50B, the user sets the distance condition regarding the distance between the text frame in which the extraction item 2 is input and the text frame in which the extraction item 3 is input as, for example, “2 mm or less” or “1 mm exactly”. Set. Thereby, it is possible to check whether the fax number is posted in an appropriate position based on the telephone number.

  In the modification, in the process of step S4 in FIG. 7, the control unit 11 determines whether or not the input value of the text frame selected in the process of step S3 includes the store name, telephone number, or fax number of the list data. Determine (step S4). In the process of step S8, the control unit 11 selects one set of a store name, a telephone number, and a fax number identified by the store ID from the list data (step S8). Next, in the process of step S9, the control unit 11 specifies a text frame (three text frames in the present modification) corresponding to the combination selected in the process of step S8 from the intermediate OK list (step S9). . Then, in the process of step S11, the control unit 11 determines whether or not the text frames corresponding to all items (store name, telephone number, and fax number in this modification) have been identified (step S11). Next, in step S13, the control unit 11 determines whether the distance between the text frame in which the store name is input and the text frame in which the telephone number is input satisfies the distance condition, or (b) the telephone number is It is determined whether or not the distance between the input text frame and the text frame in which the fax number is input satisfies a distance condition (step S13). At this time, if the control unit 11 determines that both conditions are satisfied (step S13: YES), the store ID corresponding to the combination selected in the process of step S8 and the frame ID of each text frame The item classification and the input value are additionally written in the OK list (step S14). On the other hand, if it is determined that both or one of the two conditions is not satisfied (step S13: NO), the store ID corresponding to the combination selected in the process of step S8, the frame ID of each text frame, and the item The category and input value are additionally written in the third error list (step S15). Note that the item 3 for the fax number is provided in the same manner as the item 1 in the OK list and the third error list in the modification.

  In the modification, the control unit 11 refers to the second error list, acquires the store name, the telephone number, and the fax number based on the store ID, and is different from the item identified by the item classification of the second error list. Identify items. For example, when there is a record in which the item classification is a store name and a fax number for one store ID in the second error list, the control unit 11 specifies a telephone number. Then, the control unit 11 displays the acquired store name, telephone number, and fax number on the check result form 70, and displays in the result column that the specified item has not been detected.

  Moreover, in the said modification, the control part 11 acquires a shop name, a telephone number, and a fax number based on shop ID with reference to a 3rd error list, and displays it on the check result form 70. FIG. At this time, the control unit 11 displays in the result column that the posting position of the store name, telephone number, or fax number is incorrect.

DESCRIPTION OF SYMBOLS 1 Editing apparatus 11 Control part 12 Storage part 13 Interface part 14 Display part 15 Operation part 30 Flyer 31 Store contact part 32, 33 Text frame 50 Condition setting form 50A Extraction condition setting part 50B Distance condition setting part

Claims (8)

A text proofing apparatus for proofreading text input to the text frame included in a layout image in which a text frame corresponding to each item related to the target is arranged for each target,
Storage means for storing list data in which correct text to be input in a text frame corresponding to each item is described for each object;
Extraction condition acquisition means for acquiring an extraction condition for extracting a text frame corresponding to each item to be proofread;
Distance condition acquisition means for acquiring a distance condition set to determine whether or not a distance between text frames corresponding to each item to be calibrated is appropriate;
First extraction means for extracting a text frame that satisfies the acquired extraction condition from text frames in the layout image;
Second extraction means for extracting a text frame in which text including any text described in the list data is input from the text frames extracted by the first extraction means;
The text frame extracted by the second extraction means is selected for each target, and the selected text frame is selected when the distance between the text frames corresponding to the selected items satisfies the acquired distance condition. A determination means for determining that the text corresponding to each item related to the target is correctly input;
A text proofing apparatus comprising: The text proofing apparatus according to claim 1,
A second determination is made that text is not correctly input for a text frame in which text that does not include any text described in the list data is input among the text frames extracted by the first extraction means. Determination means,
A text proofing apparatus further comprising: The text proofreading apparatus according to claim 2,
Highlighting means for highlighting the text frame determined by the second determination means that the text is not correctly input;
A text proofing apparatus further comprising: A text proofing apparatus according to any one of claims 1 to 3,
For a target in which a text frame corresponding to the item to be proofread does not exist in the text frame extracted by the second extraction unit, it is determined that text corresponding to some items to be proofread is not input. 3 determination means,
A text proofing apparatus further comprising: The text proofing apparatus according to claim 4,
Informing means for notifying that there is an item for which no text has been input for an object for which there has been an item for which text has not been input by the third determining means;
A text proofing apparatus further comprising: The text proofreading apparatus according to any one of claims 1 to 5,
The text frame extracted by the second extraction means is selected for each target, and the selected text frame is selected when the distance between the text frames corresponding to each selected item does not satisfy the acquired distance condition. Second notification means for notifying that there is an error in the text input position for the object;
A text proofing apparatus further comprising: A text proofing method by a text proofing device for proofreading text input to the text frame included in a layout image in which a text frame corresponding to each item related to the target is arranged for each target,
An extraction condition acquisition step of acquiring an extraction condition for extracting a text frame corresponding to each item to be proofread;
A distance condition acquisition step of acquiring a distance condition set to determine whether or not a distance between text frames corresponding to each item to be calibrated is appropriate;
A first extraction step of extracting a text frame satisfying the obtained extraction condition from text frames in the layout image;
Among the text frames extracted by the first extraction means, stored in a storage means for storing list data in which the correct text to be input to the text frame corresponding to each item is described for each object. A second extraction step of extracting a text frame in which text including any text is input;
The text frame extracted by the second extraction means is selected for each target, and the selected text frame is selected when the distance between the text frames corresponding to the selected items satisfies the acquired distance condition. A determination step for determining that the text corresponding to each item related to the object is correctly input;
A text proofreading method characterized by comprising: A computer included in a text proofing apparatus that proofreads text input to the text frame included in a layout image in which a text frame corresponding to each item related to the target is arranged for each target;
Extraction condition acquisition means for acquiring an extraction condition for extracting a text frame corresponding to each item to be proofread;
Distance condition acquisition means for acquiring a distance condition set in order to determine whether or not a distance between text frames corresponding to each item to be calibrated is appropriate;
First extraction means for extracting a text frame that satisfies the acquired extraction condition from text frames in the layout image;
Among the text frames extracted by the first extraction means, stored in a storage means for storing list data in which the correct text to be input to the text frame corresponding to each item is described for each object. Second extraction means for extracting a text frame in which text including any text is input;
The text frame extracted by the second extraction means is selected for each target, and the selected text frame is selected when the distance between the text frames corresponding to the selected items satisfies the acquired distance condition. A determination means for determining that the text corresponding to each item related to the object is correctly input;
A text proofing program characterized by functioning as

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