JP2022152134A - Image data edition program, image data edition method, and image data edition device - Google Patents

Abstract

To provide an image data edition program that accurately masks a character string corresponding to an identified item included in image data.SOLUTION: A server 10 acquires, when acquiring image data ((3) in Fig. 4), character strings included in the image data, and refers to a character string pattern DB in which information is registered in advance ((2) in Fig. 4) and identifies an item name to be masked (for example, "my-number") from the acquired character strings. The server refers to the character string pattern DB, and identifies one character string that satisfies a feature of the character string corresponding to the identified item name from character strings included in the image data. The server identifies, based on the identified string, character strings that are aligned vertically and horizontally and satisfy the feature of the character string corresponding to the item name. The server masks, on the basis of a processing result, the image data ((4) in Fig. 4).SELECTED DRAWING: Figure 4

Description

The present invention relates to an image data editing program, an image data editing method, and an image data editing apparatus.

For example, when creating a manual for a system used in a bank or the like, images obtained by taking screen shots of actual input screens and the like may be used. Since such an image includes confidential information such as customer information, it has been conventionally necessary to manually mask the confidential information.

In addition, for example, Patent Documents 1 and 2, etc. are known as techniques for concealing a portion of an image that should be concealed.

Japanese Unexamined Patent Application Publication No. 2005-18220 JP 2008-204226 A

However, when manually masking information that should be kept confidential, it is troublesome and may be overlooked.

Further, for example, in Patent Document 2, although it is possible to hide a character string arranged in a predetermined direction (for example, downward) of a specific item in a table, a character string corresponding to a specific item is displayed in a predetermined direction of the item. If they are not lined up, they cannot be hidden.

In one aspect, the present invention provides an image data editing program, an image data editing method, and an image data editing apparatus capable of precisely masking a character string corresponding to a specific item included in image data. aim.

In one aspect, the image data editing program obtains a character string included in the image data, and refers to a storage unit that associates and stores an item name to be masked and a feature of the character string corresponding to the item name. extracts the item name to be masked from the obtained character string, refers to the storage unit, and corresponds to the extracted item name to be masked from the character string included in the image data. identifying a first character string that satisfies the characteristics of the character string to be masked, and using the identified first character string as a reference, identifying the characteristics of the character string corresponding to the extracted item name to be masked, arranged in the vertical and horizontal directions; An image data editing program for causing a computer to execute a process of specifying a satisfying second character string and masking the first character string and the second character string of the image data.

Character strings corresponding to specific items included in image data can be accurately masked.

It is a figure showing roughly composition of an information processing system concerning one embodiment. FIG. 2(a) is a diagram showing the hardware configuration of the server, and FIG. 2(b) is a diagram showing the hardware configurations of the administrator terminal and the user terminal. It is a functional block diagram of a server. FIG. 3 is a diagram showing an outline of processing of an administrator terminal, server, and user terminal; FIG. 5(a) is a diagram showing a character string pattern DB, and FIGS. 5(b) and 5(c) are diagrams showing examples of images stored in the check rule fields of the character string pattern DB. be. 4 is a flowchart showing processing of a registration unit; 4 is a flowchart showing mask processing of image data by a server; FIG. 3 is a diagram showing an example of captured image data; FIG. 9 is a diagram showing information of all character strings included in the image data of FIG. 8; FIG. FIGS. 10(a) and 10(b) are diagrams (part 1) showing a list obtained by the process of FIG. FIGS. 11(a) and 11(b) are diagrams (part 2) showing the list obtained by the process of FIG. FIGS. 12(a) and 12(b) are diagrams (part 3) showing the list obtained by the process of FIG. It is a diagram showing the first to fourth quadrants with reference to the origin of item names. FIG. 8 is a diagram for explaining step S42 in FIG. 7; FIG. 15(a) to 15(e) are diagrams showing information to be masked. FIG. 4 is a diagram showing an example of masked image data; FIGS. 17A and 17B are diagrams for explaining another example of the table included in the image data.

An embodiment of an information processing system will be described in detail below with reference to FIGS. 1 to 17. FIG.

FIG. 1 schematically shows the configuration of an information processing system 100 according to one embodiment. As shown in FIG. 1, an information processing system 100 includes a server 10 as an image data editing device, an administrator terminal 60, and a plurality of user terminals 70. Each device is connected to a network 80 such as the Internet. It is connected to the.

The server 10 acquires the image data transmitted from the user terminal 70 and identifies character strings to be masked (confidential) from the acquired image data. In addition, the server 10 automatically performs mask processing on the specified character string, and performs processing for returning the masked image data to the user terminal 70 .

FIG. 2(a) shows the hardware configuration of the server 10. As shown in FIG. As shown in FIG. 2A, the server 10 includes a CPU (Central Processing Unit) 90, a ROM (Read Only Memory) 92, a RAM (Random Access Memory) 94, a storage unit (for example, an SSD (Solid State Drive) or HDD (Hard Disk Drive)) 96, a network interface 97, a portable storage medium drive 99, and the like. Each component of the server 10 is connected to the bus 98 . In the server 10, a program (including an image data editing program) stored in the ROM 92 or the HDD 96, or a program (including an image data editing program) read from the portable storage medium 91 by the portable storage medium drive 99 is read by the CPU 90. , the function of each part shown in FIG. 3 is realized. FIG. 3 also shows the image data storage unit 42 stored in the storage unit 96 of the server 10 and the character string pattern DB 40 as a storage unit. Note that the function of each unit in FIG. 3 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). Details of each part in FIG. 3 will be described later.

The administrator terminal 60 is a terminal such as a PC (Personal Computer) used by an administrator, and has a hardware configuration as shown in FIG. 2(b). Specifically, as shown in FIG. 2B, the administrator terminal 60 includes a CPU 190, a ROM 192, a RAM 194, a storage unit 196, a network interface 197, a display unit 193, an input unit 195, and a portable storage medium drive. 199 etc. Each component of the administrator terminal 60 is connected to the bus 198 . The portable storage medium drive 199 is a device for reading programs and data stored in the portable storage medium 191 . The display unit 193 includes a liquid crystal display and the like, and the input unit 195 includes a keyboard, mouse, touch panel and the like.

An administrator using the administrator terminal 60 inputs information of a character string to be masked in the image data via the input unit 195 . When the information input by the administrator is obtained, the server 10 manages the information and uses it for mask processing.

The user terminal 70 is a terminal such as a PC (Personal Computer) used by a user (for example, a user who creates a manual for a system used in a bank). It has a hardware configuration as shown.

A user using the user terminal 70 inputs an instruction to capture the screen displayed on the display unit 193 via the input unit 195 (for example, presses the "print screen" key on the keyboard). ). When the instruction is input, the user terminal 70 captures the screen displayed on the display unit 193 and transmits the generated image data to the server 10 . Also, when image data after mask processing is transmitted from the server 10, the user terminal 70 acquires the image data.

FIG. 4 shows an outline of processing of the administrator terminal 60, server 10, and user terminal 70 in this embodiment. In this embodiment, when the administrator inputs the information of the character string to be masked to the administrator terminal 60, the administrator terminal 60 (1) sends the information of the character string to be masked to the server 10. Send. The server 10 that has received this information (2) registers the information of the character string to be masked received from the administrator terminal 60 . The processes (1) and (2) are executed each time the administrator inputs the character string information to be masked. On the other hand, when the user inputs an instruction to capture a screen at the user terminal 70 , the user terminal 70 (3) captures the screen and transmits the captured image data to the server 10 . On the other hand, the server 10 that has received the image data (4) performs mask processing on the received image data. Then, the server 10 (5) transmits the masked image data to the user terminal 70 . In this embodiment, for example, when image data as shown in FIG. 8 is captured by the user terminal 70, the server 10 performs mask processing as shown in FIG. 70.

Next, functions of the server 10 will be described with reference to FIG. The CPU 90 executes a program so that the server 10 includes a registration unit 20, an image data reception unit 24, an OCR processing unit 26 as a character string acquisition unit, a secret information analysis unit 28, a mask processing unit 30, and a mask image transmission unit 32. , functions as

The registration unit 20 acquires the information of the character string to be masked input by the administrator at the administrator terminal 60 and stores it in the character string pattern DB 40 . Here, the character string pattern DB 40 stores information necessary for identifying character strings to be masked from image data. Specifically, the character string pattern DB 40 has fields of "item name", "attribute", "value", and "check rule", as shown in FIG. 5(a). The "item name" field stores item names of character strings to be masked (for example, "my number" and "sex"). The "attribute" and "value" fields store the characteristics of the character string corresponding to the "item name". For example, if the item name is "my number", "%n12" is stored as the attribute. "%n12" means a 12-digit number. For example, when the item name is "sex", specific character strings "male", "female", "male", and "female" are stored as values.

"Check rules" stores detailed check rules when there are conditions that cannot be expressed by attributes or values. For example, if the item name is "my number", "my number check" for checking whether the 12-digit number is my number is stored. As a My Number check, the method of performing a check digit in the 12th digit of a character string specified by the Ministry of Internal Affairs and Communications (Ministry of Internal Affairs and Communications Ordinance No. 85 of 2014, Article 5 of the Ministerial Ordinance Concerning the Provision of Specific Personal Information through Notification Cards and Individual Number Cards and Information Providing Network Systems under the Provisions of the Law Concerning the Use of Numbers to Identify Individuals. For example, if the item name is "license number", "check rule" stores "license number check". In the case of this driver's license number check, it is possible to use the method of performing a check digit on the 11th digit of the character string specified by the National Police Agency. About the format and content of the number”).

As described above, in this embodiment, in the character string pattern DB 40 of FIG. there is

As exception processing, when adding a certain area as a mask area or excluding a certain area from the mask area, an image for specifying the area is stored in the "check rule" field. A specific example of the image for identifying the area will be described later.

The image data receiving unit 24 acquires image data captured by the user terminal 70 and stores it in the image data storage unit 42 . Image data to be masked by the server 10 is temporarily stored in the image data storage unit 42 .

The OCR processing unit 26 acquires the image data stored in the image data storage unit 42, and acquires character strings included in the image data by OCR (Optical Character Recognition) processing.

The confidential information analysis unit 28 refers to the character string pattern DB 40 (FIG. 5(a)), and matches the item name stored in the character string pattern DB 40 among the character strings acquired by the OCR processing unit 26. Identifies a string. In addition, the confidential information analysis unit 28 extracts a character string (a character string that should be masked or is preferably masked) having characteristics corresponding to the item name based on the identified character string.

The mask processing unit 30 reads out the image data from the image data storage unit 42 and performs processing for masking the character string extracted by the secret information analysis unit 28 to be masked.

The mask image transmission unit 32 executes processing for transmitting the image data masked by the mask processing unit 30 to the user terminal 70 .

(Regarding the processing of the server 10)
Next, the processing of the server 10 will be described in detail along the flow charts of FIGS. 6 and 7 and with appropriate reference to other drawings.

(Processing of registration unit 20)
FIG. 6 is a flow chart showing the processing of the registration unit 20. As shown in FIG. The processing in FIG. 6 corresponds to the processing in (1) and (2) in FIG.

When the process of FIG. 6 is started, the registration unit 20 first waits in step S10 until information (attributes, values, check rules) of item names and character string patterns to be masked is received. When the administrator inputs information on the item name to be masked and the character string pattern to the administrator terminal 60, the process proceeds to step S12.

In step S<b>12 , the registration unit 20 associates the item name with the character string pattern and stores them in the character string pattern DB 40 . For example, when the administrator inputs character string pattern information (feature information) relating to the item names "my number" and "gender", the information is stored as shown in FIG. 5(a). The registration unit 20 then returns to step S10 and repeats the above process.

(Mask processing of image data)
FIG. 7 is a flowchart showing image data masking processing by the server 10 . The processing in FIG. 7 corresponds to the processing in (3) to (5) in FIG. The process of FIG. 7 is started when the captured image data is transmitted from the user terminal 70 (when the image data receiving unit 24 acquires the image data). It is assumed here that the image data receiving section 24 acquires image data as shown in FIG. 8 and stores it in the image data storage section 42 . FIG. 8 shows the coordinate system with the upper left corner of the image data as the origin, but the actual image data does not include display of the coordinate system.

When the process of FIG. 7 is started, first, in step S30, the OCR processing unit 26 performs OCR processing on the image data to acquire each character string and the position and size information of the character string. Here, the character string position and size information includes the horizontal coordinates of the origin, the vertical coordinates of the origin, and the size of the rectangle when the entire character string is regarded as a rectangle. , which contains information about the rectangle size and height. FIG. 9 shows information of all character strings included in the image data of FIG. For example, for the character string "my number", the information of the character string is: character string = "my number", horizontal coordinates of the origin = "150", vertical coordinates of the origin = "50", character When the entire column is regarded as a rectangle, the width of the rectangle=“75” and the length of the rectangle=“25”. The information acquired as shown in FIG. 9 is listed as shown in FIG.

Next, in step S32, the confidential information analysis unit 28 refers to the character string pattern DB 40 (FIG. 5(a)) to identify character strings that match item names stored in the character string pattern DB 40. FIG. Here, the character strings "my number" and "sex" are identified from the list in FIG. 10(a), as shown in FIG. 10(b).

Next, in step S34, the confidential information analysis unit 28 refers to the character string pattern DB 40 and extracts a character string having characteristics corresponding to the specified item name.

Here, it is assumed that the confidential information analysis unit 28 first performs processing for the item name "my number". At this time, the secret information analysis unit 28 identifies a character string that is a 12-digit numerical value and that satisfies the My Number check conditions from the list of FIG. 10(a). For example, assume that seven character strings (A) to (G) shown in FIG. 11(a) are specified as 12-digit numerical values from the list in FIG. 10(a). In addition, among the 7 specified character strings, the character strings that clear the conditions of the My Number check are (A) character string “123456789012”, (C) “234567890123”, and (G) “345678901234”. shall be

In addition, the secret information analysis unit 28 excludes character strings that exist in areas excluded from the mask area, even if the character strings satisfy the My Number check conditions. In the example of FIG. 5(a), the area to be excluded from the mask area is specified by the employee number column image.PNG. The employee number column image.PNG is an image as shown in FIG. 5(b). In this case, the confidential information analysis unit 28 does not mask the 12-digit character string existing in the field under the item name "employee number". In the example of FIG. 8, since the character strings "999999999999" and "8888888888888" exist in the area, these character strings are excluded even if they meet the My Number check conditions. As a result, a list as shown in FIG. 11B is obtained as a list of character strings having characteristics corresponding to the item name "my number".

In this embodiment, as described above, an image such as "employee number column image.PNG" (FIG. 5(b)) is used to define the area to be excluded from the mask area. As a result, regardless of the size (enlargement ratio) of the table captured by the user, it is possible to accurately specify the portion to be excluded from the mask area.

The secret information analysis unit 28 also processes the item name "gender". In this case, the confidential information analysis unit 28 selects a character string ((H ), see (I)). As a result, a list as shown in FIG. 12B is obtained as a list of character strings having characteristics corresponding to the item name "sex".

Next, in step S36, the secret information analysis unit 28 determines whether or not a character string having characteristics corresponding to the item name has been extracted. If the determination in step S36 is negative, that is, if the character string could not be specified in step S34, the process proceeds to step S50, and the secret information analysis unit 28 notifies the user that there was no portion to be masked. The terminal 70 is notified. By referring to this notification, the user can confirm that there is no information to be kept confidential in the captured image, so that the captured image can be used to create a manual or the like with peace of mind. After that, all the processing in FIG. 7 is terminated.

On the other hand, if the determination in step S36 is affirmative, that is, if the character string can be specified in step S34 as shown in FIGS. 11(b) and 12(b), the process proceeds to step S38. After proceeding to step S38, the confidential information analysis unit 28 selects one item name corresponding to the character string extracted in step S34. Here, it is assumed that the item name "my number" is selected.

Next, in step S40, the secret information analysis unit 28 identifies the character string closest to the position of the selected item name from among the extracted character strings in the area excluding the upper left area of the selected item name. In this case, the secret information analysis unit 28 refers to the coordinates of the item name "my number" in FIG. 10(b) and the coordinates of the character strings included in the list in FIG. 11(b). Then, as shown in FIG. 13, the confidential information analysis unit 28 exists in the areas (first, third, and fourth quadrants) excluding the second quadrant when viewed from the origin of the item name "my number". Identify the character string (first character string) closest to the origin of "my number". The reason why the second quadrant is excluded in this way is that there is a low possibility that the character string corresponding to the selected item name "my number" exists in the second quadrant, so the second quadrant is excluded. Therefore, the processing can be simplified. Here, it is assumed that the character string "123456789012" is identified from the list in FIG. 11(b).

Next, in step S42, the secret information analysis unit 28 uses the specified character string (first character string) from among the extracted character strings (FIG. 11(b)) as a reference, and the character strings (second character string). Specifically, as shown in FIG. 14, the secret information analysis unit 28 specifies the character string "234567890123" by searching in the vertical direction from the character string "123456789012". In addition, the secret information analysis unit 28 searches in the horizontal direction from the character string "123456789012" and searches in the horizontal direction from the character string "234567890123" (see the dashed arrow in FIG. 14). The string is unspecified. Therefore, in the present embodiment, the confidential information analysis unit 28 generates information of mask target regions (information indicating character strings to be masked) as shown in FIGS. 15(a) and 15(b), It is transmitted to the mask processing unit 30 . Note that, for example, when a new character string is specified as a result of searching in the horizontal direction from the character strings "123456789012" and "234567890123", the confidential information analysis unit 28 uses the newly specified character string as a starting point. It is assumed that character strings are searched vertically and horizontally.

Next, in step S44, the secret information analysis unit 28 executes mask area addition processing to specify a character string to be added. In this case, the confidential information analysis unit 28 refers to the character string pattern DB 40 of FIG. 5A and determines whether or not there is a check rule "addition of mask area" corresponding to the selected item name. . Then, if it exists, the secret information analysis unit 28 refers to the image (here, "remarks column image.PNG") associated with the mask area addition. Here, it is assumed that "remark column image.PNG" is an image as shown in FIG. 5(c). The confidential information analysis unit 28 determines whether or not the same portion as this "remark column image.PNG" exists in the image data of FIG. In the case of FIG. 8, since there is the same part as in FIG. 5(c), the 12-digit numerical value existing in the column below that part and the character string that satisfies the My Number check conditions is to be masked. do. In the example of FIG. 8, "345678901234" is the mask target area. Therefore, the confidential information analysis unit 28 generates information on the mask target area as shown in FIG.

In this embodiment, as described above, an image such as "remark column image.PNG" shown in FIG. 5C is used to define the area to be added to the mask area. This allows the user to accurately specify the mask area regardless of the size (enlargement ratio) of the table captured by the user.

Next, in step S46, the secret information analysis unit 28 determines whether or not all item names have been selected. If the determination here is denied, the secret information analysis unit 28 returns to step S38.

Returning to step S38, the secret information analysis unit 28 selects one item name corresponding to the character string extracted in step S34. Here, it is assumed that the item name "gender" is selected.

Next, in step S40, the secret information analysis unit 28 selects from the extracted character strings (Fig. 12(b)) in the area excluding the upper left area based on the origin of the selected item name "sex". Identifies the string closest to the position of the item name entered. In this case, the character string "Male" positioned at the top in FIG. 8 is identified from among the character strings included in the list of FIG. 12(b).

Next, in step S42, the confidential information analysis unit 28 identifies the character strings arranged vertically and horizontally from the extracted character strings (FIG. 12(b)) with reference to the character string identified in step S40. As a result, the character string of "male" located on the lower side in FIG. 8 is specified. In the present embodiment, the secret information analysis unit 28 generates information on the mask target area as shown in FIGS.

Next, in step S44, the secret information analysis unit 28 executes mask area addition processing to specify a character string to be added. As shown in FIG. 5(a), since there is no check rule for "add mask area" for the selected item name "sex", the processing here is not performed, and the process proceeds to step S46. .

After proceeding to step S46, the secret information analysis unit 28 determines whether or not all item names have been selected. If the determination here is affirmative, the secret information analysis unit 28 proceeds to step S48.

In step S48, the mask processing unit 30 performs mask processing on the position of the specified character string in the image data. Specifically, the mask processing unit 30 converts the image data shown in FIG. Mask processing is performed as shown in 16 . Then, the masked image transmission unit 32 transmits the masked image data ( FIG. 16 ) to the user terminal 70 . This eliminates the need for the user to manually mask the image data. In addition, in the present embodiment, image data is masked with high accuracy, so that confidential information can be prevented from being leaked. With the above, all the processing in FIG. 7 ends.

Note that, in this embodiment, even when a table such as that shown in FIG. 17A (a table in which item names in the third and subsequent columns are omitted) is captured, character strings to be masked can be specified with high accuracy. be able to. In this case, the item name "my number" is identified (see (1)), and the closest character string (first character string) among character strings having characteristics corresponding to the item name is identified (see (2) ). Then, by searching in the vertical and horizontal directions from the closest character string identified in (2), a character string (second character string) having similar characteristics is identified (see (3) to (5)). . In this process, starting from the character string in (2), the search is performed in the vertical direction. A horizontal search is performed starting from the character string in (3). The character strings (4) and (5) newly found in the horizontal search are also searched vertically and horizontally. If a character string that has already been found is found again, the character string is not searched again.

In addition, even when a table such as that shown in FIG. can be specified. In this case, (1) the item name “my number” is identified, and (2) the closest character string (first character string) among character strings having characteristics corresponding to the item name is identified. Then, (3) to (5) a character string having similar characteristics (second character string) is specified by searching in the vertical and horizontal directions from the closest character string. In this way, even for image data in which tables in various formats are captured, mask processing can be performed with high accuracy, as with the image data in FIG.

As is clear from the above description, in the present embodiment, the secret information analysis unit 28 uses an extraction unit that extracts a predetermined item name from the image data, a character string that satisfies the characteristics of the character string corresponding to the item name from the image data. Functions as first and second specifying units for specifying columns are realized.

As described above in detail, according to the present embodiment, the OCR processor 26 acquires character strings included in image data (S30). The confidential information analysis unit 28 also refers to the character string pattern DB 40 to identify the item name to be masked from the obtained character strings (S32). In addition, the confidential information analysis unit 28 refers to the character string pattern DB 40 to identify, from among the character strings included in the image data, a character string that satisfies the characteristics of the character string corresponding to the identified item name (S34, S40). Based on the identified character string, the secret information analysis unit 28 identifies a character string that satisfies the characteristics of the character strings corresponding to the item names that are aligned vertically and horizontally (S42). Then, the mask processing unit 30 performs mask processing on the image data based on the processing result of the confidential information analysis unit 28 (S48). That is, the secret information analysis unit 28 uses a character string (first character string) having characteristics of a character string that is preferably masked as a reference, and identifies positions where character strings having similar characteristics are likely to be placed. A search is made to identify a character string (second character string) having similar characteristics. As a result, it is possible to specify the character string to be masked with high accuracy. Therefore, according to the server 10 , it is possible to automatically generate image data in which character strings to be masked are accurately masked, and to provide the image data to the user terminal 70 . Further, since the image data is automatically masked by the server 10, the user does not have to manually mask the image data. For example, as a method of mask processing, there is a method of masking a character string of a predetermined number of characters existing in a predetermined direction (to the right or downward) of the item name. However, with such a method, it is difficult to appropriately mask image data including tables such as those shown in FIGS. 17(a) and 17(b). On the other hand, in the present embodiment, it is possible to appropriately perform mask processing even for image data including tables such as those shown in FIGS. 17A and 17B.

Further, in this embodiment, in step S40, the secret information analysis unit 28 extracts one character string having characteristics corresponding to the item name in a range excluding the upper left side (second quadrant) of the selected item name. Identify. In this way, by excluding the second quadrant in the processing, the processing can be simplified.

In this embodiment, an image (for example, remarks column image.PNG) used for adding a mask area can be stored in the "check rule" field in FIG. 5(a). By storing an image that specifies the mask area in this way, the area to be added to the mask area can be specified with high accuracy no matter what size (magnification) the table is captured. .

In the above-described embodiment, the confidential information analysis unit 28 identifies the character string closest to the item name among the character strings having characteristics corresponding to the item name in step S40. It is not limited. For example, the secret information analysis unit 28 may randomly specify one character string from the character strings having characteristics corresponding to the item name.

In the above embodiment, the confidential information analysis unit 28 identifies the character string closest to the position of the item name in a range other than the second quadrant with respect to the origin of the item name in step S40. , but not limited to these. For example, in step S34, the second quadrant may be excluded from the range from which the confidential information analysis unit 28 extracts character strings. Further, in step S42, the second quadrant may be excluded when the secret information analysis unit 28 searches vertically and horizontally. Alternatively, in steps S40, S34, and S42, each process may be performed without excluding the second quadrant.

In the above-described embodiment, the mask processing unit 30 masks the character string in a black rectangular shape, but the mask processing unit 30 is not limited to this. For example, each character may be masked so that the number of characters in the character string can be known. Alternatively, mosaic processing may be performed, or processing for replacement with arbitrary characters (for example, alphabetic characters, x, etc.) may be performed.

Note that the processing functions described above can be realized by a computer. In that case, a program is provided that describes the processing contents of the functions that the processing device should have. By executing the program on a computer, the above processing functions are realized on the computer. A program describing the processing content can be recorded in a computer-readable storage medium (excluding carrier waves).

When a program is distributed, it is sold in the form of a portable storage medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. It is also possible to store the program in the storage device of the server computer and transfer the program from the server computer to another computer via the network.

A computer that executes a program stores, for example, a program recorded on a portable storage medium or a program transferred from a server computer in its own storage device. The computer then reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable storage medium and execute processing according to the program. In addition, the computer can also execute processing in accordance with the received program each time the program is transferred from the server computer.

The embodiments described above are examples of preferred implementations of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the spirit of the present invention.

In addition, the following additional remarks will be disclosed with respect to the above description of the embodiment.
(Appendix 1) Get the character string included in the image data,
extracting the item name to be masked from the obtained character string by referring to a storage unit that stores an item name to be masked and a feature of a character string corresponding to the item name in association with each other;
identifying a first character string that satisfies the characteristics of the extracted character string corresponding to the item name to be masked, from among the character strings included in the image data, by referring to the storage unit;
Using the identified first character string as a reference, identifying a second character string that satisfies the characteristics of the character string corresponding to the extracted item name to be masked and arranged in the vertical and horizontal directions;
masking the first character string and the second character string of the image data;
An image data editing program for making a computer execute processing.
(Appendix 2) In the process of identifying the first character string, one of the first character strings is identified from character strings existing in a range excluding the upper left side of the extracted item name to be masked. The image data editing program according to appendix 1, characterized by:
(Appendix 3) The method according to appendix 1 or 2, characterized in that, in the process of identifying the first character string, the first character string existing at a position closest to the extracted item name to be masked is identified. image data editing program.
(Appendix 4) The storage unit associates and stores an image showing a mask target area and a feature of a character string corresponding to the mask target area,
In the masking process, among the image data, a character string that exists in the mask target area stored in the storage unit and has characteristics of a character string corresponding to the mask target area is masked. The image data editing program according to any one of Appendices 1 to 3, characterized by:
(Appendix 5) Acquire the character string included in the image data,
extracting the item name to be masked from the obtained character string by referring to a storage unit that stores an item name to be masked and a feature of a character string corresponding to the item name in association with each other;
identifying a first character string that satisfies the characteristics of the extracted character string corresponding to the item name to be masked, from among the character strings included in the image data, by referring to the storage unit;
Using the identified first character string as a reference, identifying a second character string that satisfies the characteristics of the character string corresponding to the extracted item name to be masked and arranged in the vertical and horizontal directions;
masking the first character string and the second character string of the image data;
An image data editing method characterized in that processing is executed by a computer.
(Additional remark 6) a character string obtaining unit for obtaining a character string included in the image data;
a storage unit that associates and stores an item name to be masked and a feature of a character string corresponding to the item name;
an extraction unit that refers to the storage unit and extracts the item name to be masked from the obtained character string;
a first specifying unit that refers to the storage unit and specifies, from among the character strings included in the image data, a first character string that satisfies the characteristics of the extracted character string corresponding to the item name to be masked;
a second identifying unit that identifies a second character string that satisfies the characteristics of the character string corresponding to the extracted item name to be masked and that is aligned vertically and horizontally with the identified first character string as a reference;
a mask processing unit that masks the first character string and the second character string of the image data;
An image data editing device comprising:
(Supplementary Note 7) The first identification unit identifies one of the first character strings from character strings existing in a range excluding the upper left side of the extracted item name to be masked. The image data editing device according to appendix 6.
(Supplementary note 8) The image data editing according to Supplementary note 6 or 7, wherein the first specifying unit specifies the first character string present at a position closest to the extracted item name to be masked. Device.
(Additional Note 9) The storage unit associates and stores an image showing a mask target area and a feature of a character string corresponding to the mask target area,
The mask processing unit masks a character string existing in the mask target area stored in the storage unit and having characteristics of a character string corresponding to the mask target area in the image data. The image data editing device according to any one of appendices 6 to 8, characterized by:

10 server (image data editing device)
26 OCR processing unit (character string acquisition unit)
28 secret information analysis unit (extraction unit, first identification unit, second identification unit)
30 mask processing unit 40 character string pattern DB (storage unit)

Claims (6)

Get the string contained in the image data,
extracting the item name to be masked from the obtained character string by referring to a storage unit that stores an item name to be masked and a feature of a character string corresponding to the item name in association with each other;
identifying a first character string that satisfies the characteristics of the extracted character string corresponding to the item name to be masked, from among the character strings included in the image data, by referring to the storage unit;
Using the identified first character string as a reference, identifying a second character string that satisfies the characteristics of the character string corresponding to the extracted item name to be masked and arranged in the vertical and horizontal directions;
masking the first character string and the second character string of the image data;
An image data editing program for making a computer execute processing. In the process of identifying the first character string, one of the first character strings is identified from character strings existing in a range excluding the upper left side of the extracted item name to be masked. The image data editing program according to claim 1. 3. The image data according to claim 1, wherein, in the process of specifying the first character string, the first character string existing at a position closest to the extracted item name to be masked is specified. editing program. The storage unit associates and stores an image showing a region to be masked and a feature of a character string corresponding to the region to be masked,
In the masking process, among the image data, a character string that exists in the mask target area stored in the storage unit and has characteristics of a character string corresponding to the mask target area is masked. 4. The image data editing program according to any one of claims 1 to 3, characterized by: Get the string contained in the image data,
extracting the item name to be masked from the obtained character string by referring to a storage unit that stores an item name to be masked and a feature of a character string corresponding to the item name in association with each other;
identifying a first character string that satisfies the characteristics of the extracted character string corresponding to the item name to be masked, from among the character strings included in the image data, by referring to the storage unit;
Using the identified first character string as a reference, identifying a second character string that satisfies the characteristics of the character string corresponding to the extracted item name to be masked and arranged in the vertical and horizontal directions;
masking the first character string and the second character string of the image data;
An image data editing method characterized in that processing is executed by a computer. a character string acquisition unit that acquires a character string included in image data;
a storage unit that associates and stores an item name to be masked and a feature of a character string corresponding to the item name;
an extraction unit that refers to the storage unit and extracts the item name to be masked from the obtained character string;
a first specifying unit that refers to the storage unit and specifies, from among the character strings included in the image data, a first character string that satisfies the characteristics of the extracted character string corresponding to the item name to be masked;
a second identifying unit that identifies a second character string that satisfies the characteristics of the character string corresponding to the extracted item name to be masked and that is aligned vertically and horizontally with the identified first character string as a reference;
a mask processing unit that masks the first character string and the second character string of the image data;
An image data editing device comprising:

Images