JP2014021700A - Credit slip check support device, method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a device and method for supporting the efficient check operation of a credit slip.SOLUTION: A credit slip check support device 1 scans a credit slip, and creates slip data 21 and image data 22 (11), and determines the necessity of signatures from the slip data 21 (12), and segments signature data 23 in a signature region from the image data 22 of the credit slip requiring the signatures (13), and calculates the level of the possibility of invalidity of the signatures on the basis of the occupancy rate of the blank part of the signature data 23 (14), and determines the display order of each signature data 23 in the order of the high possibility of invalidation, and creates display data 24 for screen, and displays the display data for screen on an operator terminal 4 (15), and when receiving the instruction of notification to a store (16), creates store notification data 25 related to the signatures selected on the screen, and notifies the store terminal 5 of the store notification data (17).

Description

  The present invention relates to a data processing technique for supporting a credit slip check operation.

  In tenant management departments of store-integrated commercial facilities such as shopping malls and shopping centers, as one of the management tasks, transactions by credit card transactions handled by each credit card member store (hereinafter referred to as “credit transaction”) There is a case of checking a copy document (hereinafter referred to as “credit slip”) indicating the contents.

  The following is an example of processing when the tenant management department manages credit transactions at each store.

  (1) In the store, the person in charge reads the credit card presented by the purchaser into the payment terminal and receives credit transaction authentication.

  (2) When a transaction with a read credit card is approved at a store, and a credit slip (a plurality of slips such as a purchaser's copy, a member store copy, a card issuer copy) is printed, The person in charge asks the purchaser to sign in the signature section of the credit slip, and completes the transaction such as provision of goods and services. In some cases, the purchaser's PIN number is input instead of the signature, or the signatureless payment does not require a signature.

  (3) The person in charge of the store collects the credit slips (member store copy, card issuer copy, etc.) that were traded on one day and submits them to the tenant management department.

  (4) In the tenant management department, the person in charge of management collects the credit slips (card issuing company copies) collected from each store and sends them to each card issuing company.

  (5) The tenant management department pays the credit transaction amount to each store based on the credit slip.

  (6) The tenant management department receives payment of the transaction amount of the sent credit slip from the card issuing company.

  (7) The card issuing company sends the details of the credit transaction to the purchaser based on the sent credit slip and charges the credit card usage amount.

  Credit transactions at stores may include unauthorized use of credit cards. For example, it is assumed that a credit card usage amount that the card user does not remember is charged by the card issuing company, and that an unauthorized use of the credit card is detected by an inquiry from the card user. When the tenant management department manages credit transactions at each store as described above, there may be a problem between the card issuing company, the tenant management department, and the store regarding the responsibility for unauthorized card use. In order to prevent such troubles, the tenant management department needs to manage whether or not the credit transaction is fraudulent.

  By the way, in order to prevent unauthorized use of the card and increase the safety of credit transactions, the signature data of the user of the credit slip is traced with a pen, and the signature data is acquired and transmitted to the card management host. There is known a card settlement system that immediately notifies a result of collation with original signature data managed by a card management host.

  In addition, in order to efficiently respond to a credit card inquiry, when slip information including an electronic signature input to an electronic signature input terminal is transmitted from a credit settlement terminal, the slip information server transmits the slip information transmitted. Is known, and a slip reference system is known that transmits slip information to a reference terminal in response to a reference request from a reference terminal.

JP 2003-108901 A JP 2011-141671 A

  When the tenant management department of a store-integrated commercial facility checks a credit slip as a store management operation, the check operator usually looks at each credit slip collected from each store and checks each slip It is necessary to determine whether or not the transaction requires a signature, and to determine whether or not there is a signature for a credit slip that requires a signature, whether or not the signature of the slip is valid, and the like.

  However, in large-scale commercial facilities, the number of credit slips collected from each store may exceed 100 per day, and the entire facility has hundreds to thousands of credit slips to be checked. Since the number is enormous, there is a problem that the time required for the check work becomes very long.

  As described above, conventionally, a technique for improving the efficiency of collation in individual credit transactions is known, but a technique for improving the efficiency of checking a large number of credit slips has not existed. For this reason, there is a demand for more efficient check work for credit slips.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a credit slip check support apparatus, method, and program capable of efficiently checking credit slips even when there are a large number of target credit slips.

  The credit slip check support device disclosed in the present application is a device that supports a check operation of credit slips collected from a store to be managed.

  The apparatus acquires a slip image that is image data of each credit slip, performs character recognition processing on each of the slip images, reads the content of the credit transaction on which the slip image is printed, and reads the read content A processing unit for generating slip data indicating the signature, a processing unit for determining whether or not a signature is required for a credit transaction in the slip image based on the slip data, and a signature for the credit transaction in the slip image is required If it is determined, the image processing unit extracts the image data of the area indicating the signature field from the slip image to obtain a signature image, and extracts either a blank part or a signature part that is a written shape from the signature image. Based on the ratio of the extracted blank portion or signature portion to the entire signature image, the signature image has no signature. A processing unit for calculating possibility, and processing for determining display order of each of the signature images in descending order of possibility of invalidation of the signature, and generating display data for screen that displays a plurality of signature images in the display order And a signature image selected as a notification target on the screen, a slip image obtained by cutting out the signature image, and the signature image selected on the screen And a processing unit that creates store notification data including slip data read from the slip image.

  According to the credit voucher check support device described above, only the credit vouchers that require a signature are extracted, and the signature image data cut out from the credit voucher is arranged in the order of high possibility of being invalid, and the check operator is checked. Can be preferentially presented from signatures that are highly necessary. Therefore, it is possible to support the realization of an efficient and complete check process for a credit slip.

It is a figure which shows the block structural example in one Example of the credit slip check assistance apparatus to disclose. It is a figure which shows the data structural example of slip data. It is a figure which shows the data structural example of image data. It is a figure which shows the example of a data structure of signature data. It is a figure which shows the data structural example of the display data for screens. It is a figure which shows the example of a data structure of shop notification data. It is a figure which shows the example of signature conditions. It is a figure which shows the example of signature cutout conditions. It is a figure which shows the example of a processing flow of a credit slip check assistance apparatus. It is a figure for demonstrating the 2nd determination process in one Example. It is a figure which shows the example of a display screen based on the display data for screens. It is a figure which shows the example of a more detailed process flow in the case of using signature conditions of the process of signature necessity determination.

  A credit slip check support apparatus disclosed as one aspect of the present invention will be described below.

  The disclosed credit voucher check support device 1 is for supporting the check operation of the credit voucher collected from each store in the tenant management department of the store integrated commercial facility.

  FIG. 1 is a diagram illustrating a block configuration example in an embodiment of a disclosed credit slip check support apparatus.

  The credit slip check support device 1 is connected to the input device 3, the worker terminal 4, and the store terminal 5.

  The input device 3 is a device that reads image data of a printed credit slip, and is implemented by a scanner or the like.

  The worker terminal 4 is an apparatus having an input / output function used by a credit slip check worker. In the worker terminal 4, data created by the credit slip check support device 1 is output via the user interface, and instructions and data for the credit slip check support device 1 are input.

  The store terminal 5 is a device having an output function used by a person in charge at each store. The store terminal 5 outputs store notification data created by the credit slip check support device 1.

  The credit slip check support device 1 includes an input data processing unit 11, a signature necessity determination unit 12, a signature cutout unit 13, a signature validity determination unit 14, a screen display editing unit 15, an input operation processing unit 16, and a notification data editing unit 17. Is provided.

  The input data processing unit 11 acquires image data of the entire credit slip read by the input device 3 (hereinafter referred to as “slip image”), performs character recognition processing on the acquired slip image, and recognizes it from the slip image. The slip data 21 indicating the contents of the credit transaction is created. The slip image is image data of the content of the credit slip collected from the management target store, and the slip data 21 is information indicating the content of the credit transaction extracted from the slip image.

  The input data processing unit 11 creates the image data 22 by associating the slip image with the identification information (credit slip number) of the credit slip that is read from the slip image and becomes the slip data 21.

  Based on the slip data 21, the signature necessity determination unit 12 determines whether or not a signature is necessary for the credit transaction indicated by the credit slip. Further, the signature necessity determination unit 12 can determine the necessity of signature of the credit slip based on the slip data 21 and a signature condition 121 (not shown in FIG. 1) held in advance. The signature condition 121 is information indicating whether or not a signature is necessary for a credit transaction between a credit issuing company and a participating store.

  The signature cutout unit 13 refers to a signature cutout condition 131 (not shown in FIG. 1) held in advance and corresponds to the signature column of the credit slip from the slip image of the credit slip image data 22 determined to require a signature. The signature area 23 is cut out, and signature data 23 in which a signature image, which is image image data in the signature area, is associated with a credit slip number is created. The signature cutout condition 131 is information in which the position where the signature area corresponding to the signature column is cut out from the credit slip of each credit issuing company is registered.

  The signature validity determination unit 14 calculates the possibility that the signature appearing in the signature area is invalid for each signature data 23 (hereinafter referred to as “possibility of invalidity”), and according to the degree of possibility of invalidity of the signature. Set the weight value.

  The screen display editing unit 15 determines the display order of the signature data 23 according to the degree of possibility of invalidation of the signature. The screen display editing unit 15 determines the display order in descending order (first, second, third,...) From the signature data 23 that has a high possibility of signature invalidity. The display order is the order in which the signature images are arranged on the screen. For example, the display order is displayed side by side from the signature image of the signature data 23 having the highest display order from the top (upper left) to the lower right of the display screen.

  Further, the screen display editing unit 15 sets a display pattern indicating a mode for displaying the signature data 23 according to the weight value of the signature data 23. The display pattern is a setting for highlighting, for example, designation of the surrounding display color of the signature data 23, designation of the display size of the signature data 23, and the like according to the weight value.

  The screen display editing unit 15 creates screen display data 24 in which the display order and display mode for each signature data 23 are set. In the worker terminal 4, the display data 24 for the screen is displayed, and on the screen, the signature data is arranged from the upper left to the lower right in the order of the high possibility of signature invalidity (the weight value is large). Different display patterns are displayed according to the height of the screen.

  The input operation processing unit 16 acquires the operator's input operation input at the worker terminal 4. The input operation includes a credit slip number of the signature image selected in the display data 24 for screen, an instruction to create notification data for the store, and the end of the check work.

  The notification data editing unit 17 includes, for the selected signature data 23, store notification data 25 that includes the contents of the credit transaction, the entire image data of the credit slip, the image data of the signature area, etc., and notifies the validity of the signature. create. The notification data editing unit 17 transmits the store notification data 25 to the store terminal 5 or outputs the store notification data 25 as a file or printout. The output store notification data 25 is sent to the store.

  Next, data related to processing of the credit slip check support device 1 will be described in more detail.

  FIG. 2 is a diagram illustrating a data configuration example of the slip data 21.

  The slip data 21 includes data items such as a credit slip number, a credit company, a date, one or more details, a store code, and a store name. The “credit slip number” is a unique number for identifying a credit slip. “Credit company” is information for identifying a credit card issuing company, for example, the name of the credit card issuing company. “Date” is the date on which a credit transaction was made.

  “Details n (1, 2,..., N)” is the contents of the credit transaction, and the product name or service name (product n), the credit transaction quantity (quantity n), the credit transaction subject to the credit transaction. Including the amount (amount n). The “store code” is a unique number for identifying a store that is a credit member store. “Store name” indicates the name of the store.

  Information of each data item of the slip data 21 is information extracted from the slip image of the credit slip by the character recognition processing of the input data processing unit 11.

  FIG. 3 is a diagram illustrating a data configuration example of the image data 22. FIG. 3A is a diagram illustrating a data configuration example of the image data 22. FIG. 3B is a diagram illustrating an example of a slip image.

  The image data 22 in FIG. 3A has data items of a credit slip number and a slip image. “Credit slip number” is an identification number of a credit slip. The “slip image” is image data of the entire credit slip.

  In the slip image of FIG. 3B, information indicating the contents of the credit transaction, for example, the identification number of the credit slip, the name of the credit member store (store name), the store code, the name of the credit card issuing company, the transaction date ( Date of use), credit card number, slip number, transaction details, transaction amount, signature column, etc. are printed. In the case of a credit transaction that requires a signature, the card user's signature must be written in the signature field unless approved by a PIN.

  FIG. 4 is a diagram illustrating a data configuration example of the signature data 23. FIG. 4A is a diagram illustrating a data configuration example of the signature data 23. FIG. 4B is a diagram illustrating an example of a signature image.

  The signature data 23 in FIG. 4A includes data items of a credit slip number and a signature image. “Credit slip number” is an identification number of a credit slip. The “signature image” is image data of a signature area cut out from the slip image.

  The signature image in FIG. 4B corresponds to the area of the signature column of the credit slip, and normally, the signature of the card user is represented in this area.

  FIG. 5 is a diagram illustrating a data configuration example of the screen display data 24.

  The screen display data 24 includes data items such as a credit slip number, a slip image, a signature image, a weight, a display pattern, and a display order. “Credit slip number” is identification information of a credit slip. The “slip image” is a slip image of the image data 22. “Signature image” is a signature image of the signature data 23. “Weight” indicates the degree of possibility of invalidation of a signature. The “display pattern” is a display mode setting on the display screen corresponding to the degree of possibility of invalidation of the signature. “Display order” indicates the order of arrangement of signature images on the display screen.

  FIG. 6 is a diagram illustrating a data configuration example of the store notification data 25.

  The store notification data 25 includes data items of store code, store name, credit slip number, credit company, date, details, slip image, and signature image. “Store code”, “Store name”, “Credit slip number”, “Credit company”, “Date”, and “Detail” are information copied from the data item of the same name in the slip data 21. The “slip image” is a slip image of the image data 22, and the “signature image” is a signature image of the signature data 23. Note that the store notification data 25 may be created collectively for each store code.

  FIG. 7 is a diagram illustrating an example of the signature condition 121.

  The signature condition 121 includes data items of store code, store name, credit company, and signature condition. “Store code”, “Store name”, and “Credit company” are the same as the information of the data item of the same name in the slip data 21.

  “Signature condition” indicates a condition for signature in a credit transaction. The “signature condition” includes necessity of signature, signature column name, printing when signature is omitted, and the like. “Necessity of signature” indicates the setting of whether or not a signature is required and the transaction amount that requires the signature. “Signature column name” is a print character indicating a signature area (signature column of a credit slip). “Print when signature is omitted” is a print character when the signature is omitted.

  In the signature condition 121 shown in FIG. 7, the condition on the first line indicates that a signature is required regardless of the transaction amount, and the print character indicating the signature column of the credit slip is “signature”. The condition on the second line indicates that no signature is required regardless of the transaction amount, and there is no signature column in the credit slip. The condition on the 3rd line is that the signature is required only when the transaction amount is 10,000 yen or more, the print character indicating the signature field of the credit slip is “sign field”, and it has been approved by entering the PIN In the case of, this indicates that the characters “PIN code is input, sign is not required” are printed on the credit slip.

  FIG. 8 is a diagram illustrating an example of the signature cutout condition 131. FIG. 8A is a diagram illustrating a data configuration example of the signature cut-out condition 131. FIG. 8B is a diagram illustrating a setting example of a signature area of the signature cutout condition 131.

  The signature cutout condition 131 in FIG. 8A includes data items of credit company, print character, and signature area. “Credit company” indicates the name of the credit card issuing company. The “print character” is a character for specifying the signature area, and the base point of the relative position of the signature area is set in the print area of the character. “Signature area” is position information of the signature area. The position information is set as a relative position (starting point coordinate-ending point coordinate) from the base point based on the “printing character”.

  The setting example of FIG. 8B shows the signature cutout condition 131 of FIG. 8A, where the origin coordinates of the print area of “signature” appearing in the slip image of the image data 22 are set as the base points, and relative to the base points. This indicates that the region “(x11, y11) − (x12, y12)” specified by the position is cut out.

  Next, a processing flow of the credit slip check support apparatus 1 will be described.

  FIG. 9 is a diagram illustrating an example of a processing flow of the credit slip check support apparatus 1.

  Step S1: The input data processing unit 11 of the credit slip check support device 1 reads the credit slip collected from each store managed by the input device 3 and creates image data (slip image) of the entire credit slip.

  Step S2: It is determined whether the input data processing unit 11 has processed all collected credit slips. If all the credit slips have been processed (Y in step S2), the process proceeds to step S7. If all the credit slips have not been processed (N in step S2), the process proceeds to step S3.

  Step S3: The input data processing unit 11 performs character recognition processing on the read slip image, and reads the characters printed on the credit slip. Further, the input data processing unit 11 reads the slip data from the read print character based on the preset character definition printed on the credit slip and the item definition information indicating the corresponding print character and positional correspondence. 21 is created.

  The process of creating the slip data 21 from the printed characters read from the slip image is described in “Receipt Data Collection Device by Store and its Program” invented by the inventor of the present invention (Japanese Patent Laid-Open No. 2012-32979). Can be used.

  Further, the input data processing unit 11 creates image data 22 by associating the “credit slip number” read from the slip image with the slip image.

  Step S4: The signature necessity determination unit 12 refers to the slip data 21 and the signature condition 121 or the slip data 21, and determines whether the credit slip needs to be signed. The signature necessity determination unit 12 performs one of the following several determination processes.

  (1) It is determined whether the slip data 21 includes specific characters (for example, “signature”, “signature”, “user name”, etc.) indicating the presence of the signature column. It is determined that a signature is necessary when a character indicating a signature field is included, and it is determined that a signature is not required when a character indicating a signature field is not included.

  (2) It is determined whether the slip data 21 includes specific characters indicating that a signature is not required (for example, “signature not required”, “signless”, “password approved”, etc.). When a character indicating that a signature is unnecessary is included, it is determined that the signature is not required.

  (3) If the signature condition 121 is retained, the signature condition 121 is referred to, and the signature condition “necessity of signature” in which the store code and the credit company match matches the data in the slip data 21 No, it is determined whether or not a signature is necessary.

  If the signature necessity determination unit 12 determines that a signature is required (Y in step S4), the process proceeds to step S5, and if it is determined that a signature is not required (N in step S4), step Proceeding to the processing of S1, the next credit slip is processed.

  Step S5: The signature cutout unit 13 refers to the signature cutout condition 131 and cuts out an image (image) of the “signature area” from the slip image of the image data 22 based on the signature cutout condition of the corresponding credit company. For example, as shown in FIG. 8B, an image (image) of the “signature area” portion specified from the base point set in the “signature” print area of the slip image is cut out. The signature cutout unit 13 creates the signature data 23 by associating the “credit slip number” with the signature image that is the image of the cutout signature area.

  Step S6: The signature validity determining unit 14 calculates the possibility of invalidation of the signature image of the signature data 23. The signature validity determination unit 14 executes one of the following first determination process and second determination process.

[First determination processing]
In the first determination process, the signature validity determination unit 14 determines the possibility of invalidation of the signature using the ratio of the blank part in the signature image of the signature data 23.

  (1) The signature validity determination unit 14 extracts the shape of the written signature (character) from the signature image of the signature data 23. When the written signature cannot be extracted from the signature image, the occupancy ratio of the blank portion of the signature image is determined as “100%”, assuming that the entire signature image is a blank portion (background).

  (2) Next, the signature validity determination unit 14 determines whether or not the signature shape extracted from the signature image of the signature data 23 is a simple shape. The occupation rate is determined as “100%”. The simple shape is a shape in which the number of intersections and contacts included in the shape appearing in the signature part is equal to or less than a predetermined number, for example, the written signature is only one straight line or curve, or a simple circular shape The shape is as follows.

  (3) Further, the signature validity determination unit 14 calculates the occupation ratio with respect to the entire area of the blank part of the signature image. The case where the occupancy ratio of the blank portion of the signature image is higher than the predetermined threshold value is highly likely to be invalid even if it does not correspond to (2) above, that is, it may not be valid as a credit card signature. It is because it is considered that the nature is high.

  The signature validity determination unit 14 may calculate the thickness of the written signature line in (2) and (3) above, and correct the occupancy ratio of the blank portion according to the signature line thickness. . For example, the signature validity determination unit 14 corrects the occupancy ratio of the blank portion using a correction value prepared in advance according to the thickness of the line of the written signature. This is because when the written signature line is thick, the occupancy ratio of the blank portion is low even if it is a simple straight line or curve, thereby preventing a decrease in determination accuracy.

  (4) Next, the signature validity determination unit 14 determines a weight value indicating the degree of invalidity from the occupancy rate of the blank part as follows.

Occupancy rate = 100% → Weight value = 9
Occupancy rate = 71% to 99% → Weight value = 8
Occupancy rate = 51% to 70% 100% → Weight value = 7
Occupancy rate = 50% or less → Weight value = 0
[Second determination process]
In the second determination process, the signature validity determination unit 14 determines the validity of the signature using the histogram of the signature image of the signature data 23.

  FIG. 10 is a diagram for explaining the second determination process.

  (1) As shown in FIG. 10A, the signature validity determination unit 14 binarizes the signature image of the signature data 23 with a set reference value and creates a histogram. For example, the signature validity determination unit 14 performs processing such as setting pixels whose RGB color is (100, 100, 100) to black pixels and other pixels to white pixels, and obtains binary data of the signature data 23. To create the histogram.

  Note that noise can be removed by setting the binarization reference value to be changeable.

  (2) Next, as shown in FIG. 10B, the signature validity determination unit 14 calculates a pixel value that is equal to or larger than a preset reference pixel number in the histogram, and calculates the area occupied by the pixel of the calculated pixel value. Based on the ratio, the weight value indicating the degree of invalidity is determined as follows.

Number of pixels = 5000 or more → Weight value = 9
Number of pixels = 2000-4999 → weight value = 8
Number of pixels = 500 to 1999 → weight value = 7
Number of pixels = 500 or less → Weight value = 0
The above weight value indicates that the greater the value, the higher the possibility of invalidity.

  Step S7: The screen display editing unit 15 creates screen display data 24. For each image data 22, the screen display editing unit 15 uses a credit slip number, a slip image of the image data 22, a signature image of the signature data 23, a signature invalidity weight value, and a display pattern corresponding to the weight value for the screen. Set to display data 24. The “display pattern” setting is, for example, the setting of the highlight color around the signature images arranged on the display screen, “red” for the weight value “9”, and “red” for the weight value “8”. “Yellow” is set.

  Further, the screen display editing unit 15 sets the first, second, third,... In the “display order” of the screen display data 24 in order from the signature image having the largest “weight” value.

  Step S <b> 8: The screen display editing unit 15 displays the screen display data 24 on the display screen of the worker terminal 4.

  FIG. 11 is a diagram showing an example of a display screen based on the display data 24 for screen.

  In the display screen shown in FIG. 11, the signature images highlighted in the display color set in the “display pattern” are displayed side by side from the upper left to the lower right according to the “display order” order of the display data 24 for screen. Is done. That is, on the display screen, only the signature images cut out from the credit slip that requires a signature are displayed side by side from the upper left in the order of high possibility of being invalid. A signature that is highly likely to be invalid is highlighted depending on the degree of possibility of invalidity.

  The display screen shown in FIG. 11 includes a button for instructing creation of notification data. The “notification data creation” button is a button for instructing creation of the store notification data 25.

  Step S9: The input operation processing unit 16 waits for an input operation via the display screen of the worker terminal 4.

  When the check operator confirms the signature image on the display screen shown in FIG. 11, selects the signature image determined to be informed to the store, and selects the “create notification data” button, the input operation processing unit 16 Receives from the worker terminal 4 identification information (credit slip number) of the selected signature image and an instruction to create notification data.

  Step S10: If there is an instruction to create notification data from the worker terminal 4 (Y in step S10), the input operation processing unit 16 proceeds to the process of step S11, and if there is no instruction to create notification data (in step S10). N) The process is terminated.

  Step S11: Upon receiving the identification information of the selected signature image, the notification data editing unit 17 collects corresponding data from the slip data 21, the image data 22, and the signature data 23 and creates store notification data 25.

  Step S12: The notification data editing unit 17 transmits the created store notification data 25 to the store terminal 5, notifies the presence of a signature that is highly likely to be invalid, and ends the process.

  FIG. 12 is a diagram showing a more detailed processing flow example in the case of using the signature condition 121 in the signature necessity determination processing in step S4.

  The signature necessity determination unit 12 reads the slip data 21 (step S41), and acquires a store code, a credit company, and a transaction amount corresponding to the credit slip to be processed (step S42). The signature necessity determination unit 12 searches for the signature condition 121 (step S43), and determines whether the signature condition 121 acquired by the process of step S42 includes a signature condition corresponding to the store code and the credit company ( Step S44). If there is a signature condition applicable to the store code and the credit company (Y in step S44), the process proceeds to step S45. If no signature condition applicable to the store and the credit company exists (N in step S44), step The process proceeds to S48.

  In the process of step S45, the signature necessity determination unit 12 determines whether the transaction amount is within the transaction amount setting range of “signature necessity”, and sets the transaction amount of “signature necessity” transaction amount. If it is not within the range (N in step S45), it is determined that the signature is not necessary, and the process is terminated (step S46). If the transaction amount is within the transaction amount setting range of “necessity of signature” (Y in step S45) ), It is determined that a signature is necessary, and the process is terminated (step S47).

  In the process of step S48, the signature necessity determination unit 12 searches for “signature field name”, and if there is a print character set in “signature field name” (Y in step S49), the process proceeds to step S410. If there is no print character set in the “signature column name” (N in step S49), it is determined that a signature is not necessary, and the process is terminated (step S411).

  In the process of step S410, the signature necessity determination unit 12 determines whether a print character is set in “print when signature is omitted”, and if there is a print character set in “print when signature is omitted” ( The process proceeds to step S411, and if there is no print character set to “print when signature is omitted” (N in step S410), it is determined that a signature is necessary and the process ends (step S412). ).

  The credit slip check support apparatus 1 can be implemented as dedicated hardware that implements the processing unit shown in FIG. 1 as a component. The components of the credit slip check support device 1 may be realized in any combination. A plurality of components may be realized as one member, and one component may be configured from a plurality of members.

  The credit slip check support device 1 can be implemented by a computer that includes an arithmetic unit (CPU), a main storage device, an auxiliary storage device, a bus, etc., and these devices are internally connected. In this case, the program for realizing the function of the processing unit of the credit slip check support apparatus 1 is installed and executed on the computer, thereby implementing the credit slip check support apparatus 1 having the configuration example shown in FIG.

  The program for realizing the function of the processing unit of the credit slip check support device 1 is not only a recording medium such as a CD-ROM, CD-RW, DVD-R, DVD-RAM, DVD-RW, or a flexible disk, but also a public line. It may be stored in a hard disk of another computer or another storage device via a network such as the Internet or a LAN.

  As described above, according to the credit voucher check support device 1, only the signature image of the credit voucher that needs to be signed among the credit vouchers collected from the store is displayed on the operator terminal 4 of the check worker. The check operator can check only the signature data of the credit slip that needs to be signed. Therefore, the credit slip check support device 1 can support efficient check work.

  Furthermore, according to the credit voucher check support device 1, since the signature images that are most likely invalid are arranged and displayed on the screen in order, the check operator is highly required to confirm whether the signature is invalid. You can check in order. Therefore, the credit slip check support device 1 can support efficient check work.

  Furthermore, according to the credit voucher check support device 1, since it is highlighted in a display mode different from the normal display mode depending on the degree of possibility of being invalid, the check operator needs to confirm whether it is invalid. It is possible to check signatures with high characteristics without omission. Therefore, the credit slip check support device 1 can support a reliable check operation.

DESCRIPTION OF SYMBOLS 1 Credit slip check assistance apparatus 11 Input data processing part 12 Signature necessity determination part 13 Signature extraction part 14 Signature effectiveness determination part 15 Screen display edit part 16 Input operation processing part 17 Notification data edit part 21 Slip data 22 Image data 23 Signature data 24 Display Data for Screen 25 Store Notification Data 121 Signature Condition 131 Signature Extraction Condition 3 Input Device 4 Worker Terminal 5 Store Terminal

Claims (7)

A device that supports checking work of credit slips collected from stores to be managed,
A slip image that is image data of each credit slip is acquired, character recognition processing is performed on each slip image, the content of the credit transaction printed on the slip image is read, and slip data indicating the read content A processing unit for creating
Based on the slip data, a processing unit that determines whether or not a signature is required for a credit transaction in the slip image;
When it is determined that a signature is required for a credit transaction in the slip image, a processing unit that cuts out image data of an area indicating a signature column from the slip image and sets it as a signature image;
Extracting either a blank portion or a signature portion that is a written shape from the signature image, and based on the ratio of the extracted blank portion or signature portion to the entire signature image, the signature image signature can be invalidated A processing unit for calculating
A processing unit that determines a display order of each of the signature images in descending order of the possibility of invalidation of the signature, and creates display data for a screen that displays a plurality of signature images in the display order;
An operator's input operation on the screen on which the display data for the screen is displayed is received, and for the signature image selected as the notification target on the screen, the signature image, the slip image obtained by cutting out the signature image, and the slip image A credit slip check support apparatus, comprising: a processing unit that creates store notification data including the read slip data. A processing unit that calculates the invalidity of the signature extracts a signature part of the signature image, calculates an occupancy rate of the signature part with respect to the entire signature image, and can invalidate the signature according to the height of the occupancy rate The credit voucher check support device according to claim 1, wherein weighting is performed to reduce the performance. The processing unit that calculates the invalidity of the signature calculates the thickness of the written line of the extracted signature unit, and corrects the occupancy rate of the signature unit according to the calculated line thickness The credit slip check support device according to claim 2, wherein: A processing unit that calculates the invalidity of the signature extracts a blank part of the signature image, calculates an occupancy ratio of the blank part with respect to the entire signature image, and can invalidate the signature according to the height of the occupancy ratio The credit slip check support device according to claim 1, wherein weighting is performed to increase performance. The processing unit that calculates the invalidity of the signature performs binarization processing on the signature image to create a histogram of the signature image, and the area occupied by the number of pixels equal to or greater than a predetermined reference number of pixels in the histogram The credit slip check support device according to claim 1, wherein the possibility of invalidation of the signature is calculated based on a ratio. To support the check of credit slips collected from the managed stores,
Computer
A slip image that is image data of each credit slip is acquired, character recognition processing is performed on each slip image, the content of the credit transaction printed on the slip image is read, and slip data indicating the read content Processing steps to create
A step of determining whether or not a signature is necessary for a credit transaction in the slip image based on the slip data;
When it is determined that a signature is required for a credit transaction in the slip image, a processing step of cutting out image data of an area indicating a signature column from the slip image to be a signature image;
Extracting either a blank portion or a signature portion that is a written shape from the signature image, and based on the ratio of the extracted blank portion or signature portion to the entire signature image, the signature image signature can be invalidated Processing steps to calculate
A processing step of determining a display order of each of the signature images in descending order of the possibility of invalidation of the signature, and creating screen display data for displaying a plurality of signature images in the display order;
An operator's input operation on the screen on which the display data for the screen is displayed is received, and for the signature image selected as the notification target on the screen, the signature image, the slip image obtained by cutting out the signature image, and the slip image And a processing step of creating store notification data including the read slip data. To support the check of credit slips collected from the managed stores,
On the computer,
A slip image that is image data of each credit slip is acquired, character recognition processing is performed on each slip image, the content of the credit transaction printed on the slip image is read, and slip data indicating the read content The process of creating
A process for determining whether or not a signature is required for a credit transaction in the slip image, based on the slip data;
When it is determined that a signature is required for a credit transaction in the slip image, a process of cutting out image data of an area indicating a signature column from the slip image to be a signature image;
Extracting either a blank portion or a signature portion that is a written shape from the signature image, and based on the ratio of the extracted blank portion or signature portion to the entire signature image, the signature image signature can be invalidated The process of calculating
Processing for determining the display order of each of the signature images in descending order of the possibility of invalidation of the signature, and creating screen display data for displaying a plurality of signature images in the display order;
An operator's input operation on the screen on which the display data for the screen is displayed is received, and for the signature image selected as the notification target on the screen, the signature image, the slip image obtained by cutting out the signature image, and the slip image Credit slip check support program for executing the process of creating store notification data including the read slip data.

Images