JP2021056732A - Data processing system, data processing method, and program - Google Patents

Abstract

To reduce burden on a user who performs check work when a plurality of selection candidates are presented in the check work by collating an OCR result of documents such as a form, and guarantee reliability of ranking by presenting the selection candidates in descending order of selected frequency for each user in consideration of genre of forms and checker's skill level.SOLUTION: In the present invention, prioritized selection candidates are presented to a user for each workflow. And the priority is updated by weighting of the user who performs check work. This allows decrease in burden of the check work because the selection candidates can be presented for each workflow and according to the priority in consideration of skill level of the user who performs the check work.SELECTED DRAWING: Figure 3

Description

The present invention relates to a data processing system, a data processing method, and a program capable of performing a check operation on a character string extracted by a character recognition process.

Conventionally, it is widely known that a multifunction device, which is an image processing device having multiple functions such as a printer function, a copying function, and a facsimile function, performs OCR (Optical Character Recognition) processing on a document such as a form. The OCR process is a process of reading a document using a scanner or the like, converting it into image data, and acquiring characters.
By using OCR processing, it becomes possible to automate work that involves conversion of paper media forms to digital data, such as expense settlement work that is carried out in general offices, and production in data entry work. It can be expected to improve sex.

However, there are variations in the quality of images read by the scanner and the state of characters. Therefore, the correct answer rate of the OCR process does not reach 100%, and erroneous recognition of characters may occur.
Therefore, it is necessary for the user to directly check whether or not there is any erroneous recognition in the character string acquired by the OCR process, and if necessary, perform a check work to correct the character string. Such a check operation is generally performed on a display unit of a PC (Personal Computer) or an image processing device.

In actual work, in order to improve the accuracy of the check work, a plurality of checkers may be assigned and a double check may be performed by the plurality of checkers. At that time, each checker uses a different check tool to check, and a skilled checker is assigned to the subsequent check to further improve the accuracy.
However, since the work of finding, specifying, and correcting misrecognized characters for the character string acquired by OCR processing is complicated, the work burden of the checker is particularly high when processing many documents. Has the problem of being heavy.

Therefore, in order to improve the accuracy of OCR processing for individual characters, if there is a database of company names, addresses, etc., there is a method called "totsugo" that uses such a database as a dictionary. According to this method, even if the character string contains misrecognized characters, for example, the degree and consistency of matching with the words in the dictionary for the entire character string of a certain length representing the company name. The OCR result can be corrected based on.
However, during the matching process, a plurality of selection candidate character strings may be presented to the user, but when a large number of similar selection candidates are presented, it is checked to select an appropriate character string from among them. It is a heavy burden for the person.

Therefore, in Patent Document 1, a dictionary for modifying a character string is provided in association with the user, and it is considered that the character string frequently selected by the user is likely to be accurate, and the character strings are ranked in descending order of frequency of selection. A method of presenting the selected selection candidates to the user has been proposed.

Japanese Unexamined Patent Publication No. 2000-194697

However, in the method of Patent Document 1, since the ranking is uniformly determined according to the frequency of selection for each user without considering the type of form, the ranking is appropriate for the user who processes various types of forms. May not be. That is, a character string that is frequently selected in the processing of a form of a certain genre is not always appropriate for a form of another genre.
Further, in the method of Patent Document 1, when the frequency selected by the user is used, the skill level of the checker who performs the check work is not taken into consideration. Therefore, the reliability of the order presented is not guaranteed.

In the present invention, an extraction means for extracting one or more character strings on the image by performing character recognition processing on an image generated by reading a document, and checking the character strings are performed. A providing means for providing a user interface for being used, and a data processing system having the means for determining the type of the workflow of the check work, the providing means for modifying the character string. It is characterized in that a plurality of selection candidates are presented according to a priority determined for each of the determined workflow types.

According to the present invention, since the selection candidates for modifying the character recognition result are presented according to the priority determined for each type of workflow, the burden of performing the check work can be reduced.

It is a figure which shows the whole structure of a data processing system. It is a figure which shows the hardware configuration example of an image reader. It is a flowchart which shows the whole data input work. This is an example of a document that is the target of data entry work. It is a figure for demonstrating the process of determining the priority of selection candidates. This is an example of a user table for each workflow type. This is an example of a user weight table. It is a figure for demonstrating the user who is involved in a workflow. This is an example of a selection candidate list with a score. This is an example of a table used for score addition processing. It is a flowchart which shows the check process. This is an example of a check screen.

Hereinafter, examples for carrying out the present invention will be described with reference to the drawings. However, the examples described below are merely examples, and are not intended to limit the scope of the present invention to them. Moreover, not all combinations of features described in the following examples are essential for the means of solving the present invention.

<Example 1>
FIG. 1 is a diagram showing an overall configuration of a data processing system according to this embodiment.
As shown in FIG. 1, the image processing device 100 and the PC / server terminal 101 are connected to a LAN 104 made of Ethernet (registered trademark), a wireless LAN, or the like, and further connected to the Internet 105. Further, the mobile terminal 103 is connected to the Internet 105 via a public wireless communication network 102 or the like. The image processing device 100, the PC / server terminal 101, and the mobile terminal 103 are connected to the Internet 105 via the LAN 104 or the public wireless communication network 102, and can communicate with each other. The PC / server terminal 101 and the mobile terminal 103 may be configured to have either one, or the image processing device 100 may be configured to perform the processing performed by the PC / server terminal 101, the mobile terminal 103, or the like. May be good.

The image processing device 100 is a multifunction device having a scanner and a printer. In the data processing system according to the present embodiment, the image processing device 100 is used as a scanning terminal for reading a document such as a form, and generates a scanned image obtained by reading the document. Further, the image processing device 100 has a display unit for displaying error notifications and instruction notifications, and an operation unit such as a touch panel and hard buttons for performing operations such as scanning operations and setting operations.

The PC / server terminal 101 displays the scanned image generated by the image processing device 100. In addition, the PC / server terminal 101 saves the scanned image generated by the image processing device 100, performs OCR processing, and the like to generate reusable content data. The PC / server terminal 101 can also communicate with an external storage (not shown) such as a cloud or a server, and can transmit the saved image data and metadata to the external storage.
In this embodiment, the image processing device 100 stores the scanned image, generates the metadata, and transmits the metadata to the external storage, but the PC / server terminal 101 may perform the same processing.

The mobile terminal 103 is a smartphone or tablet terminal having an operation unit, a wireless communication unit, and an application unit for operating a web browser. In the system according to this embodiment, the mobile terminal 103 is used as a display terminal, an operation terminal, a content data generation / storage terminal, and the like, similarly to the PC / server terminal 101. It should be noted that the display, operation, metadata generation / content data generation / storage functions, etc. may be performed by only one of the PC / server terminal 101 and the mobile terminal 103.
The above components are merely examples, and not all components are essential to the present invention.

FIG. 2 is a block diagram showing a hardware configuration of the image processing device 100.
The control unit 110 includes a CPU 111, a storage device 112, a network I / F unit 113, a scanner I / F unit 114, and a display / operation unit I / F unit 115, which are communicably connected to each other via the system bus 116. Has been done. The control unit 110 controls the operation of the entire image processing device 100.

The CPU 111 reads the control program stored in the storage device 112 and performs various controls such as read control and transmission control.
The storage device 112 stores and stores the control program, image data, metadata, setting data, processing result data, and the like. The storage device 112 includes a ROM 117 which is a non-volatile memory, a RAM 118 which is a volatile memory, an HDD 119 which is a large-capacity storage area, and the like.
The ROM 117 stores a control program and the like.
The RAM 118 is the main memory of the CPU 111 and is used as a temporary storage area such as a work area.
The HDD 119 is an HDD that is a large-capacity storage area, and is used as a storage area for storing image data, metadata, and the like.

The network I / F unit 113 is an interface for connecting the control unit 110 (image processing device 100) to the LAN 104. The network I / F unit 113 transmits an image to an external device on the LAN 104 such as a PC / server terminal 101 or a mobile terminal 103, and receives various information from the external device on the LAN 104.

The scanner I / F unit 114 is an interface that connects the scanner unit 120 and the control unit 110. The scanner unit 120 reads an image on a document to generate image data, and inputs the image data to the control unit 110 via the scanner I / F unit 114.
The display / operation unit I / F unit 115 is an interface for connecting the display / operation unit 121 and the control unit 110. The display / operation unit 121 is provided with a liquid crystal display unit having a touch panel function and hard keys such as a numeric keypad, a start button, and a cancel button. The start button is a button for starting the copy or scan process. The cancel button is a button for suspending or canceling the processing being executed by the image processing device 100.
In addition, the image processing device 100 is also provided with a printer unit and the like (not shown).
As described above, the image processing apparatus 100 according to the present embodiment provides the image processing function by the hardware configuration described above.

Next, various workflows in this embodiment will be described with reference to FIG. 7. In this embodiment, the workflow is a series of work procedures defined by one or more processes (roles) for performing data input work on a document. In this embodiment, the user in charge of executing each role is predetermined for each type of workflow.
For example, taking the invoice workflow 701 in which the processing starter is user A as an example, first, the processing starter user A performs OCR processing on a document such as an invoice, and "company name" and "total amount". After extracting the item values such as, check the OCR result. Next, the user B checks the OCR result checked by the user A as the checker 1. Finally, as the checker 2, the user C further checks the OCR result checked by the user B, and then inputs the document into the invoice registration system 711.

Taking the travel expense settlement workflow 702 as an example, first, the user A who is the processing starter performs OCR processing on a document such as the travel expense settlement report, extracts the item values necessary for the travel expense settlement, and then obtains the OCR result. Check. Next, the user D checks the OCR result checked by the user A as the checker 1. Finally, as the checker 2, the user E further checks the OCR result checked by the user D, and then inputs the document into the travel expense settlement system 712.

Taking the invoice workflow 704 in which the processing starter is the user B as an example, first, the processing starter user B performs OCR processing on a document such as a receipt, and then performs the "company name" and "total amount". After extracting the item values such as ", the OCR result is checked. Next, the user H checks the OCR result checked by the user B as the checker 1. Finally, as the checker 2, the user I further checks the OCR result checked by the user H, and then inputs the document into the invoice registration system 711.

In this way, even if the process startr is the same user, the workflow is determined to be of a different type if the documents to be the target of the data input work such as the invoice, the travel expense settlement, and the contract are different. Further, even in the same invoice workflow, if the processing starter, the checker 1 and the checker 2 are different, it is determined that the workflow type is different. That is, the difference in the type of workflow is determined based on the difference in the document to be the target of the data input work and the difference in the users involved in the processing such as the processing starter and the checker.
The data input work in this embodiment is executed for the workflow as described above.

FIG. 3 is a flowchart showing the entire data input work executed by the image processing device 100 from the reading of the document to the character recognition processing and the registration of each item value in the document. .. Each process in the flowchart of FIG. 3 is realized by the CPU 111 executing a control program stored in the ROM 117, HDD 119, or the like.

First, in step S301, the CPU 111 reads the original by the scanner unit 120 and generates a scanned image.
Next, in step S302, the CPU 111 performs preprocessing for OCR processing such as image conversion, tilt correction, and binarization on the scanned image, and subsequently, identification processing and OCR processing for a character area on the scanned image. I do. In this way, after the character code is obtained by OCR processing for each character area in the document, the item values required by the user are extracted. In this embodiment, the characters are not limited to (narrowly defined) characters, but include numbers, symbols, and the like, which are coded by OCR processing.

Here, FIG. 4A shows an example of the document 401 that is the target of the data input work. Here, document 401 is assumed to be an invoice, as shown in FIG. 4A.
In the invoice, for example, items such as "company name", "telephone number", and "total amount" and item values corresponding to those items (for example, "Canon", "03-123-4567", " ¥ 11,286 ") is included.

The item value extraction process is performed, for example, by the user instructing the position where the item value to be extracted is described in the scanned image acquired by reading the document 401.

Alternatively, the item value extraction process searches the scanned image for the character string corresponding to the item that needs to be extracted, and automatically based on the positional relationship between the predefined item and the item value, without any user instruction. It is also possible to do it.
For example, when extracting the item value of the item name "total amount", search for a character string such as "billing amount" indicating "total amount" in the document type to be processed (in this case, "invoice"). To do. As a result, based on the position of the "billed amount" found from the scanned image and the positional relationship between the "billed amount" defined in advance and stored in the image processing device 100 and the item value of the amount, the "total amount" Search for the item value. In this case, the item value "¥ 11,286" is extracted based on the rule that "the item value of the amount exists on the right side of the" billed amount "character string".
The item value extraction means shown above is merely an example, and the means for extracting the information desired by the user does not matter.

Next, in step S303, the CPU 111 determines the type of workflow for the data input work.
The workflow is determined by extracting the items necessary for determining the workflow type from the item values obtained in step S302. In this embodiment, the items required to determine the type of workflow are, for example, in the case of an invoice, the title of a form such as "invoice" or "delivery note", the company name of the issuer, the item, and the like. Items such as billing amount and date. The workflow is determined based on the strength of the connection between these items and each workflow.
However, the method for determining the workflow is not limited to this. For example, before scanning the document, the user may instruct the contents of each role in advance on the display / operation unit 121 to determine the workflow.

Next, in step S304, the CPU 111 identifies a user who executes each role in the workflow of the type determined in S304.
FIG. 5 is an example of a user table 501 for each type of workflow, in which users engaged in the workflow as shown in FIG. 7 are used as a table. In the user table 501, for the workflows 701 to 704 shown in FIG. 7, the form type and each user name of the processing starter, the checker 1, and the checker 2 are described. The user table 501 for each type of workflow is created in advance and stored in the storage device 112.

From the user table 501, for example, for the invoice workflow 701, it can be seen that the processing starter is user A, the checker 1 who performs the next check is user B, and the checker 2 who performs the final check is user C.

When the user who executes each role of the workflow is specified, next, in step S305, the item value check process is sequentially performed in each role. A detailed description of the check process will be described later with reference to FIG.

Next, in step S306, the CPU 111 determines whether or not the item value check process has been completed for all the roles in the workflow.
If the check process is not completed, the process returns to step S304 in order to perform the check process for the next role. When the check process for all the roles is completed, the process proceeds to step S307.
Then, in step S307, each extracted item value is input to the system, and the data input work is completed.

Next, the item value check process performed in step S305 described above will be described with reference to the flowchart of FIG.
Here, the invoice workflow 701 in which the processing starter is the user A will be described as an example. As described above, in the invoice workflow 701, the processing starter is the user A, the checker 1 is the user B, and the checker 2 is the user C. The processing in the flowchart of FIG. 10 is realized by the CPU 111 executing a control program stored in the ROM 117, HDD 119, or the like.

First, in step S1001, the CPU 111 selects an item value to be checked by the user. Then, the character string image that is the source for extracting the item value from the scanned image and the OCR result obtained by performing the OCR processing on the character string image are acquired.
Next, in step S1002, the CPU 111 displays the selection candidates for correcting the OCR result acquired in S1001 as a check screen 1101 on the display / operation unit 121 provided in the image processing device 100 according to the priority order. To do. The priority of the selection candidates is generated based on the selection candidate list with a score described later in FIG.

FIG. 11 shows an example of the check screen 1101 which is a user interface for the user to perform the check work.
As shown in FIG. 11A, the check screen 1101 shows the character string image 1102 extracted from the scanned image of the document 401 and the OCR result 1103 obtained by performing OCR processing on the character string image 1102 (here). Then, "Cannon") is displayed. Further, below the OCR result 1103, selection candidates 1104 (“Canon”, “Kyunon”, etc.) for the OCR result 1103 (“Canon”) are displayed as a drop-down list according to the priority order.
The display method of the selection candidate 1104 is not limited to this, and may be displayed at a position that can be easily compared with the OCR result 1103 or the character string image 1102.
Further, the check screen 1101 is not limited to being displayed on the display / operation unit 121 provided in the image processing device 100, and may be displayed on a monitor (not shown) provided in the PC 101 or the like.

Next, in step S1003, one is selected by the user from the selection candidates 1104 displayed on the check screen 1101.
To select from the selection candidates, the user touches one of the selection candidates 1104 on the check screen 1101 and then presses the confirmation button 1105 or clicks with a mouse (not shown). Is carried out by.

Next, in step S1004, the CPU 111 adds the scores of the selection candidates selected in S1003 for the workflow of the corresponding type.
For example, when the user selects "Canon" from the selection candidates 1104 on the check screen 1101, the score of "Canon" in the selection candidate list with a score described later is added to the workflow 711. A detailed description of the score addition process for adding scores will be described later with reference to FIG. 8 and the like.

Next, in step S1005, the CPU 111 confirms whether the check process has been completed for all the item values extracted from the document 401.
When the check processing for all item values is completed, the processing of this flowchart is completed. If there is an item value that has not been corrected yet, the process returns to step S1001 and the same processing is performed for the next unprocessed item value.

Next, with reference to FIG. 4B, a process of determining the priority order for displaying the selection candidates for correcting the OCR result on the check screen 1101 performed in the above-mentioned step S1002 will be described. The process of determining the priority order is realized by the CPU 111 executing the control program stored in the ROM 117, the HDD 119, or the like.

Here, it is assumed that the character string "Cannon", which is the company name of the issuer of the document 401, is extracted as the OCR result 402 from the document 401 which is the invoice as shown in FIG. 4A.
With respect to the OCR result 402, the selection candidate list 404 is extracted from the company name dictionary 403 stored in the ROM 117, HDD 119, etc. by the matching process. In this example, in the selection candidate list 404, "Canon", "Canon", "Canon", "Canon", "Kyunon", etc., which are judged to be close to "Canon" having an OCR result 402 as a company name, etc. Contains a string.

Next, the dictionary manager 405 sorts the selection candidates 404 according to the priority in the workflow of the corresponding type. At this time, the dictionary manager 405 extracts a scored selection candidate list for "Cannon" in the invoice workflow 701 from the scored selection candidate list storage table 408. Then, the selection candidate list 410 with a priority is output based on the selection candidate list with a score.
In the selection candidate list with scores, for each workflow type and for each character string to be modified, the selection candidate list is displayed in descending order of score, along with a score indicating that each selection candidate is likely to be the correct answer. Are listed. The score of each selection candidate is the cumulative frequency selected by each user who processed the workflow of the corresponding type.

FIG. 8 shows an example of a selection candidate list with a score for each type of workflow stored in the selection candidate list storage table 408 with a score.
In the selection candidate list 801 with the score of (a), the selection candidates for the character string "Cannon" in the workflow 701 are arranged in descending order of the score. The prioritized selection candidate list 410 is generated based on the scored selection candidate list 801.

Next, the score addition process of the selection candidate performed in the above-mentioned step S1004 will be described with reference to FIG.
In step S1003 described above, it is assumed that each user has performed a check process for the role in charge in the invoice workflow 701 as shown in the check results 409, 411, 412 of FIG.
That is, in the workflow 711, it is assumed that the user A selects "Canon" from the selection candidates for the character string "Canon" to be corrected. It is assumed that the user B also selects "Canon" from the selection candidates for the character string "Canon" to be corrected. Further, it is assumed that the user C selects "Kyunon" from the selection candidates for the character string "Cannon" to be corrected.

Then, based on the check process performed by each user, the scores of each selection candidate in the corresponding type of workflow are added. Here, in this embodiment, the weight for each user is taken into consideration when adding the scores. By weighting each user's check process and adding scores in this way, the skill level and reliability of each user's check process can be taken into consideration, so reliability is increased for each workflow type. The priority of the selected selection candidates can be obtained.

FIG. 6 is an example of a user weight table 601 in which weights for each user are described for each workflow.
For example, in the invoice workflows 701 and 704, the weight for each user's modification is "+1" for the processing starter, "+2" for the checker 1, and "+3" for the checker 2.
Further, in the travel expense settlement workflow 702, the weight for each user's modification is "+1" for the processing starter, "+3" for the checker 1, and "+4" for the checker 2.
As in this example, for each workflow, the weight for modification can be changed for each user. In particular, when there are a plurality of checkers, it is conceivable to increase the weight of the checker 2 who checks later.

In this example, from the user table 501 for each workflow in FIG. 5, it can be seen that the process starter in the workflow 701 is the user A. Further, from the user weight table 601 of FIG. 6, it can be seen that the weight of the processing starter is "+1". Therefore, in workflow 701, the weight of user A is "+1".
Since the user A has selected "Canon" as shown in the check result 409, 1 is added to the score of "Canon" in the selection candidate priority list 801.

Similarly, in the workflow 701, since the user B is the checker 1 and the correction weight of the checker 1 is "+2", the weight of the user B is "+2".
Since the user B also selected "Canon" as shown in the check result 411, 2 is further added to the score of "Canon" in the selection candidate priority list 801.

Similarly, in the workflow 701, since the user C is the checker 2 and the weight of the checker 2 is “+5”, the weight of the user C is “+5”.
Since the user C has selected "Kyunon" as shown in the check result 412, 5 is added to the score of "Kyunon" in the selection candidate priority list 801.
That is, in this example, in S1004, the score addition process adds the addition score as shown in Table 901 in FIG. 9 to the selection candidate priority list 801 (FIG. 8A).

As a result, the priority list 801 for "Cannon" in the workflow 711 is updated as shown in the priority list 802 (FIG. 8B). Here, the first priority is "Kyunon" and the second priority is "Canon", and the priority of the selection candidates has been changed from before the update.

As described above, according to the first embodiment, the selection candidates for modifying the OCR result are displayed according to the priority order for each workflow type. As a result, the workload of the user in the check process can be reduced.

<Example 2>
In the first embodiment, the user is presented with selection candidates for modifying the OCR result, and the correct one is selected from the selection candidates. However, it is possible that there is no option to be selected among the presented selection candidates. For example, although only the name of an existing company is stored in the company name dictionary 403, it is assumed that a new company name is described in the document.
Therefore, in the second embodiment, when an appropriate option does not exist among the presented selection candidates, the selection candidate can be easily added.

In the second embodiment, in the check screen 1101 displayed in S1002 of the flowchart of FIG. 10 described in the first embodiment, a new addition column 1106 is provided in addition to the selection candidate 1104. As a result, it is possible to input a company name other than the presented selection candidates.
Then, when the user inputs a new company name in the new addition field 1106 in S1003, the entered company name is added to the company name dictionary 403. The new company name entered on the check screen 1101 is added to the selection candidate 1104 and displayed when the same OCR result is the target of the check process from the next time onward.

<Other Examples>
The present invention supplies a program that realizes one or more functions of the above-described embodiment to a system or device via a network or storage medium, and one or more processors in the computer of the system or device reads and executes the program. It can also be realized by the processing to be performed. It can also be realized by a circuit (for example, ASIC) that realizes one or more functions.
Further, the present invention may be applied to a system composed of a plurality of devices or a device composed of one device.
The present invention is not limited to the above-described examples, and various modifications can be made based on the gist of the present invention, and these are not excluded from the scope of the present invention. That is, all the configurations in which each of the above-described examples and modifications thereof are combined are also included in the present invention.

100 Image processing device 401 Document 410 Prioritized selection candidate list 1101 Check screen

Claims (14)

An extraction means for extracting one or more character strings on the image by performing character recognition processing on the image generated by reading the document.
A data processing system having a providing means for providing a user interface for checking the character string.
Further having a discriminating means for discriminating the type of workflow of the check work,
The providing means is a data processing system characterized in that a plurality of selection candidates for modifying the character string are presented according to a priority determined for each of the determined workflow types. The data processing system according to claim 1, wherein the determination means determines the type of the workflow based on the extracted character string. The data processing system according to claim 1, wherein the determination means determines the type of the workflow based on a user's instruction. The data processing system according to any one of claims 1 to 3, wherein the workflow is composed of one or more roles. The data processing system according to claim 4, wherein a user who executes each of the roles is defined. The data processing system according to any one of claims 1 to 5, wherein in the user interface, a user can select one selection candidate from the plurality of selection candidates. The data according to any one of claims 1 to 6, wherein in the user interface, the user can select a selection candidate other than the plurality of selection candidates by inputting a character string. Processing system. The data processing system according to claim 6 or 7, wherein each priority of the plurality of selection candidates is determined based on a score added by the selection for each type of workflow. The data processing system according to claim 8, wherein the score added by the selection is weighted for each user. The data processing system according to any one of claims 1 to 9, further comprising a storage means for storing the selection candidates. The data processing system according to claim 10, wherein when a character string other than the plurality of selection candidates is input in the user interface, the storage means stores the input character string. The data processing system according to any one of claims 1 to 11, further comprising a storage means for storing the document for which the check operation has been performed. An extraction step of extracting one or more character strings on the image by performing character recognition processing on the image generated by reading the document.
A providing process for providing a user interface for checking the character string, and a data processing system having the same.
It further has a discriminating step for discriminating the type of workflow of the check work.
A data processing method, characterized in that, in the providing process, a plurality of selection candidates for modifying the character string are presented according to a priority determined for each of the determined workflow types. A program for causing a computer to execute the data processing method according to claim 13.

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