JP6646308B1 - Voucher analysis device, accounting processing system, voucher analysis method, voucher analysis program - Google Patents

Abstract

The voucher analysis unit 11 included in the accounting processing system 1 identifies an imprint area from the voucher image data, and identifies an area corresponding to a journal element such as an issuer area that overlaps with the imprint area and includes an issuer element. A journal element extracting unit 22 for extracting a journal element including an issuer element from the issuer area identified by the area identifier 21; a supplier database 23 storing supplier information; An issuer estimating unit 24 for estimating the voucher issuer by comparing the issuer element extracted by the journal element extracting unit 22 with the supplier information stored in the supplier database 23 is provided.

Description

  The present invention relates to a voucher analysis device, an accounting processing system, a voucher analysis method, and a voucher analysis program capable of estimating a voucher issuing source from image data of vouchers such as invoices and receipts.

  Conventionally, as a voucher accounting process, a tax accountant, accountant, or bookkeeper reads the information described in the voucher one by one, and enters journal elements such as date, business partner, amount, etc. in the ledger and responds to the journal element Judgment was made empirically based on the account that was entered.

  In this way, if a person reads a voucher and performs journal entry on a case-by-case basis, the work efficiency is poor, and the accuracy of the journal entry largely depends on the experience of the person in charge, and the accuracy of the journal entry varies. Was.

  Therefore, using an OCR (Optical Character Reader) device, the contents of the voucher are read as electronic data, and transmitted to the journal analysis center system via the Internet. A so-called cloud-based accounting processing system has been developed that allows a user to refer to a transaction (see Patent Document 1).

  Specifically, in the technique described in Patent Document 1, voucher data captured by a portable terminal or the like is analyzed by a journal element extracting unit to extract journal element information as text format data. Specifically, it recognizes a character information group recorded in voucher image data such as a receipt and converts it into text data composed of items such as a user ID, a date, a purchaser name, and a purchased product name. . Then, a product group corresponding to the product name included in the journal element information converted into the text data is obtained from the product master, and the recommended journal is indicated using a mapping table corresponding to the product group (see paragraphs in Patent Document 1). 0118 to paragraph 0128).

JP 2014-235484 A

  In Patent Literature 1, journal elements are extracted from vouchers using an OCR device. However, the display format of the vouchers is various, and the information described in the vouchers is also various, so that the extraction accuracy of the journal elements is high. It is not easy to do. For example, if a plurality of company names are described in one voucher, it may not be possible to determine which company name is the issuer of the voucher.

  On the other hand, in many cases, a company seal or the like is stamped on a portion where the information of the issuer is described in the bill or the receipt. Further, when reading a voucher, a foreign substance may be mixed in, the voucher itself may be damaged, the voucher may be copied, characters may be blurred, or the voucher may include handwritten characters. In such a case, when the journal element is extracted from the voucher using the OCR device, the information of the publisher is partially lost and extracted, and the publisher cannot be recognized accurately. If the issuer cannot be recognized accurately, there is a problem that the human must eventually check the voucher, and the work efficiency cannot be improved.

  The present invention has been made to solve such a problem, and an object of the present invention is to enable the voucher issuer to be more quickly and accurately recognized from the voucher image data. It is an object of the present invention to provide a voucher analysis device, an accounting processing system, a voucher analysis method, and a voucher analysis program that can improve the efficiency of the input operation of the voucher.

  In order to achieve the above object, the voucher analysis apparatus according to the present invention includes a region identification unit that identifies a journal element region including a journal element from image data of vouchers, and a journal element region identified by the region identification unit. An issuer element extraction unit for extracting an issuer element indicating the issuer of the trademark; a storage unit for storing supplier information; an issuer element extracted by the issuer element extraction unit; An issuer estimating unit for estimating the issuer of the voucher by comparing the obtained supplier information with the obtained supplier information.

  In the voucher analysis apparatus described above, the issuer estimating unit issues the voucher according to the degree of coincidence between the issuer element extracted by the issuer element extraction unit and the supplier information stored in the storage unit. The element may be estimated.

  In the above voucher analysis apparatus, the area identification unit identifies an imprint area from the voucher image data, identifies an issuer area that overlaps the imprint area and includes an issuer element, The source element extraction unit may extract the source element from the source area identified by the area identification unit.

  Further, in the above voucher analysis device, the area identification unit can identify a facsimile information area in which outgoing information is described at the time of facsimile reception from the image data of the voucher as the journal element area, The unit can extract the issuer element from the FAX information area identified by the area identification unit. The issuer estimator includes the issuer element extracted from the FAX information area in the storage unit. You may collate with the stored supplier information.

  Further, in the above voucher analysis device, the area identification unit can identify an account information area in which bank account information is described as the journal element area, and the issuer element extraction unit is configured by the area identification unit. The issuer element can be extracted from the identified account information area, and the issuer estimating unit includes the issuer element extracted from the account information area and the supplier information stored in the storage unit. Collation may be performed.

  In the above voucher analysis device, the area identification unit can identify a number information area in which unique number information unique to a supplier is described as the journal element area, and the issuer element extraction unit The issuer element can be extracted from the unique number information area identified by the area identification section, and the issuer estimator is stored in the storage section, including the issuer element extracted from the unique number information area. It may be checked against the supplier information.

  Further, in the above voucher analysis device, the area identification section can identify a mail address information area in which mail address information is described as the journal element area, and the issuer element extraction section includes the area identification section. The issuer element can be extracted from the e-mail address information area identified by the e-mail address information area, and the issuer estimator includes the supplier element stored in the storage section, including the issuer element extracted from the e-mail address information area. You may collate with information.

  Further, in order to achieve the above-mentioned object, the accounting processing system according to the present invention includes the above-described voucher analysis device, and a journal unit that outputs an account item corresponding to the journal element of the voucher including the issuer element, Is provided.

  In order to achieve the above object, a voucher analysis method according to the present invention uses a computer to identify an imprint area from image data of a voucher, An area identification step of identifying an area, an issuer element extraction step of extracting the issuer element from the issuer area identified by the area identification step, and an issuer element extracted by the issuer element extraction step, An issuer estimating step of estimating the issuer of the voucher by collating with the supplier information stored in the storage unit.

  In order to achieve the above object, the voucher analysis program causes a computer to execute the above voucher analysis method.

  According to the present invention using the above means, the voucher issuer can be more quickly and accurately recognized from the voucher image data, and the efficiency of inputting the voucher issuer can be improved.

FIG. 1 is a system configuration diagram illustrating an accounting processing system including a voucher analysis unit according to an embodiment of the present invention. 5 is a flowchart illustrating a flow of voucher analysis executed by a voucher analysis unit. It is explanatory drawing which estimates an issue source from the bill containing a seal.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a system configuration diagram showing an accounting processing system including a voucher analysis unit according to an embodiment of the present invention. The configuration of this embodiment will be described with reference to FIG.

  As shown in FIG. 1, an accounting system 1 according to the present embodiment is configured such that each device on a user side and an accounting process on an accounting service provider side are connected via a communication network 2 such as the Internet or a VPN (Virtual Private Network). The apparatus 10 is configured to be connected. Although only one user is shown in FIG. 1 for simplicity of description, the accounting processing device 10 can be connected to a plurality of users via the communication network 2.

  The user is, for example, an expert such as a tax accountant or an accountant, or a corporation or an individual who performs direct accounting, and has at least the reading device 3 and the information terminal 4.

  The reading device 3 is, for example, an optical device such as a scanner or a camera, and is a device that can capture a voucher as image data. In this embodiment and in the claims, the term “certificate” refers to receipts, receipts, other receipts, invoices, invoices, financial institution passbooks, financial documents for proof of money transfer, It also includes transaction information by IC card such as money.

  The information terminal 4 is, for example, a personal computer (hereinafter, referred to as a PC), a mobile terminal such as a smartphone, a tablet PC, and a mobile phone, and is a terminal that can display at least web information.

  The user can acquire the image data of the voucher by the reading device 3, transmit the image data to the transaction device 10 by the information terminal 4, and receive the information from the transaction device 10. Although FIG. 1 shows the reading device 3 and the information terminal 4 as separate bodies, the reading device 3 and the information terminal 4 may be integrated like a mobile terminal with a camera. In addition, the user does not need to own the reading device 3, and for example, image data of a voucher read by an external reading device may be acquired via e-mail or the web.

  On the other hand, an accounting processing service provider (hereinafter, also simply referred to as a service provider) is a business entity that provides accounting processing services by so-called cloud computing, and is a person who manages the accounting processing device 10.

  The accounting processing apparatus 10 has one or a plurality of servers (computers) that execute journal processing based on a program, and functionally mainly extracts journal elements including voucher issuer elements from voucher image data. Voucher analysis unit 11 (voucher analysis device), a display unit 12 for displaying the analysis result of the journal element, a journal element determination unit 13 for determining the analyzed journal element, and a journal element based on the determined journal element. It has a journalizing unit 14 for performing automatic journalizing, and a learning system 15 for generating AI such as an area identification AI and a journalizing AI.

  Further, the voucher analysis unit 11 includes an image acquisition unit 20, an area identification unit 21, a journal entry element extraction unit 22 (issuer element extraction unit), a supplier database 23 (storage unit), and an issuer estimation unit 24. ing.

  The image acquisition unit 20 has a function of receiving image data of a voucher read by the reading device 3 of the user. The image acquisition unit 20 may include a storage unit (not shown) for storing received image data.

  The region identification unit 21 has an image analysis function of identifying a journal element region corresponding to a journal element from the image data of the voucher acquired by the image acquisition unit 20.

  The journal elements include, for example, a date, an amount, a business partner, a description (including proviso and a product name), and a business source (including an address), and corresponding numbers, characters, and graphics (for example, a logo mark, an imprint, and other companies). Identifiable patterns) and the appearance of vouchers (eg, size, color of passbook or receipt).

  The area identification unit 21 can specify, for example, characters such as “date”, “year”, “month”, “day”, and symbols such as “/” before and after and upper and lower numbers. As for the amount of money, it is possible to specify a numeral such as “￥” or a character such as “amount”, “payment”, “deposit”, “balance”, “yen”, and the numbers before and after or above and below. In addition, for business partners, specify the character part before and after characters such as "stock company", "(stock)", "(f)", logo mark, telephone number, FAX number, and appearance of voucher. The part corresponding to the company name or personal name based on the information can be specified. As for the abstract, a character portion following a character such as “How” can be specified. As for the transaction source, it is possible to specify a character portion in front of a character such as “sama”.

  The journal elements are not limited to these, and the numbers, characters, and figures used for extracting the journal elements are not limited to these. For example, if the voucher describes the quantity of purchased items, the quantity may be included as a journal element, or if information such as the name and number of attendees is described, May be included as a journal element. In addition, a unique number (corporate number, office number) set for identifying each company may be extracted. Other unique numbers of the business partners that can specify the business partners in this way include a transaction code, a billing number, a quotation number, an order number, and the like.

  Specifically, when the input image data is obtained by scanning a passbook, the area identification unit 21 specifies an area including a part corresponding to a date, transaction contents, payment, deposit, balance, and the like. The part corresponding to the journal element is specified. If the image data is obtained by scanning a receipt or receipt, specify the area that includes the date, logo, company name, amount, and proviso to identify the part corresponding to the journal element. Do.

  The area identification unit 21 identifies such a journal element area by the area identification AI. In the learning system 15, the area identification AI is performed by machine learning using teacher data (learning data) including image data of various vouchers and data indicating each journal element area in the image data. Is an AI that has learned to identify a region including a portion corresponding to a journal entry element from.

  In particular, the area identifying unit 21 in the present embodiment identifies the area of the seal imprint in the image data of the image data of the voucher having the seal indicating the issuer, such as a bill or a receipt, and further identifies the seal imprint. It has a function of identifying the issuer area that overlaps with the area and includes the issuer element.

  The identification of the imprint area and the issuer area may be performed by image analysis other than the AI, or may be performed by the area identification AI. In the case of the area identification AI, the learning system 15 uses teacher data (learning data) including image data of a voucher including an imprint and data indicating the area of the imprint and the issuer area in the image data. The region identification AI is generated by learning to identify the region of the seal and the source region from the image data by machine learning.

  Note that the seal is mainly a company seal in a corporation or a business name in a sole proprietor, and may be a circle instead of a square. The issuer element corresponds to the business partner in the above-mentioned journal element, and specifically, a company name, a personal name (trade name), an address, a telephone number, a FAX number, an e-mail address, a department name, a person in charge, Etc. are included.

  Further, the area identification unit 21 in the present embodiment can identify a facsimile information area in which start information such as a facsimile number of a transmission source is described at the time of facsimile reception from image data of vouchers. The FAX information area is mainly printed on the end of the voucher (for example, at the header or footer), and the area identification unit 21 may identify the area by the area identification AI or image analysis. The external area may be set as the FAX information area and identified.

  The journal element extracting unit 22 has a character recognition function of outputting, as text, journal elements in an area corresponding to each journal element identified by the area identifying unit 21. For example, the journal element extracting unit 22 recognizes a number in a date portion or a money amount portion and outputs a text of a date and a money amount, and recognizes a character in a portion corresponding to a business partner and a portion corresponding to a summary. To output the text of the business partner or description. The character recognition function may use a conventional OCR technique, or the learning system 15 uses teacher data (learning data) including a journal element part in image data and a text corresponding to the journal element. Then, the text AI that has been learned to output the text of the journal element by machine learning may be used.

  In particular, the journal element extraction unit 22 according to the present embodiment determines, for image data of vouchers having an imprint indicating the issuer, such as an invoice or a receipt, from the issuer area identified by the area identification unit 21 to the issuer area. Extract elements. In other words, the journal element extracting unit 22 extracts, as the publisher element, the text in the publisher area that overlaps the seal area.

  The journal element extracting unit 22 extracts the issuer element excluding the area of the seal imprint in the issuer area. Therefore, the issuer element that partially overlaps the imprint area is extracted in a partially missing state.

  In addition, the journal element extraction unit 22 in the present embodiment can also extract the issuer element from the FAX information area. The issuer element included in the FAX information area is mainly the FAX number of the issuer (FAX sender).

  The business partner database 23 (hereinafter, the database is referred to as “DB”) is a so-called business partner master, and includes a company name, a personal name (own name), an address, a telephone number, a fax number, and a mail corresponding to the issuer element. Business partner information such as an address, a department name, a person in charge, etc. is stored.

  The issuer estimator 24 compares the issuer element extracted by the journal element extractor 22 with the supplier information stored in the supplier DB 23 to estimate the voucher issuer, and outputs the estimation result. Has a function. Note that the issuer estimating unit 24 may output only the estimation result, or may output the estimation result together with the other journal elements extracted by the journal element extracting unit 22.

  Specifically, the issuer estimating unit 24 estimates the issuer of the voucher according to the degree of coincidence between the extracted issuer element and the supplier information in the supplier DB 23. In other words, even if the issuer element is partially missing, supplier information having a higher degree of matching than other supplier information is estimated as the issuer of the voucher. The estimation result is not necessarily limited to one issuer, and a plurality of issuer candidates may be listed in accordance with the order of the highest matching degree. Further, information on the degree of coincidence indicated by, for example, a percentage may be added to the estimation result together with the supplier information.

  In addition, the issuer estimating unit 24 can perform collation with the supplier information, including the issuer element extracted from the FAX information area. Since the issuer information in the FAX information area is located at the end of the voucher, it is less likely to be lost due to imprint or the like, and a higher degree of matching can be obtained.

  The display unit 12 is, for example, a display of the accounting processing apparatus 10 and has a function of displaying the journal element extracted by the journal element extraction unit 22 and the estimation result of the publisher estimated by the publisher estimation unit 24. I have. In addition, the journal element and the estimation result of the issuer are transmitted not only to the display unit 12 of the accounting processor 10 but also to the information terminal 4 of the user so that the user can check the extraction result of the journal element and the estimation result of the issuer. It may be.

  Next, the journal element deciding unit 13 has a function of executing a deciding process for deciding the journal element displayed on the display unit 12 by a service provider or a program for deciding the journal element. In other words, the journal element deciding unit 13 checks the journal element and the estimation result of the issuer displayed on the display unit 12 by the person in charge on the service provider side, for example, and performs the deciding operation on the journal element having no problem as it is. The correction operation is performed on the problematic journal element, and then the finalizing operation is performed. When a plurality of issuer candidates are listed as the estimation result of the issuer estimating unit 24, the person in charge selects and fixes one issuer candidate in the journal element deciding unit 13.

  The journalizing unit 14 has a function of outputting an account corresponding to the journal element determined by the journal element determining unit 13. The output of the account corresponding to this journal element is performed by, for example, a journal AI. The journal AI is an automatic journal AI learned in the learning system 15 to output an account for a journal element by machine learning in advance. The account item output from the journal unit 14 is transmitted to the user's information terminal 4 as a journal result together with the journal element.

  The learning system 15 has a function of learning the above-described area identification AI, journalizing AI, textual AI, and the like, and supplying the learned AI. More specifically, the learning system 15 generates a journal element extraction AI by performing machine learning (so-called deep learning) based on voucher image data and teacher data (learning data) including journal elements included in the image data. . Further, the learning system 15 generates a journal AI by performing machine learning based on teacher data (learning data) including journal elements and accounts corresponding to the journal elements.

  In the accounting processing apparatus 10 configured as described above, the voucher analysis unit 11 extracts the journalizing element from the voucher image data and converts it into text, and particularly, for a voucher including a seal, identifies the area of the seal. Then, the issuer area overlapping with the seal imprint area is identified, the issuer element is extracted from the issuer area, and the voucher issuer is estimated by collating with the supplier information in the supplier DB 23.

  Referring now to FIG. 2, there is shown a flowchart illustrating the flow of voucher analysis performed by the voucher analysis unit 11, and the voucher analysis method will be described in detail below with reference to the flowchart. Note that the voucher analysis starts when the image acquisition unit 20 receives image data of voucher from the user.

  First, in step S1, the voucher analysis unit 11 causes the region identification unit 21 to identify a region corresponding to a journal element from image data of vouchers.

  Then, in step S2, the journal element extracting unit 22 extracts the journal elements in the identified area and converts them into text.

  In step S3, the voucher analysis unit 11 determines whether the region identification unit 21 has identified an imprint area in the voucher image data. If the result of the determination is false (No), that is, if the received image data is voucher without imprint, the process proceeds to step S4.

  In step S4, the voucher analysis unit 11 outputs the text of the journal element extracted by the journal element extraction unit 22 to the display unit 12, and ends the routine.

  On the other hand, if the result of the determination in step S3 is true (Yes), that is, if the voucher has an imprint such as a bill or a receipt, the process proceeds to step S5.

  In step S5, the voucher analysis unit 11 identifies the imprint area in the voucher image data by the area identification unit 21 and identifies the issuer area that overlaps the imprint area (area identification step).

  Then, in step S6, the journal element extracting unit 22 extracts the issue element from the issue area (issue element extraction step).

  In step S7, the voucher analysis unit 11 determines whether the facsimile information is described in the facsimile information area in the image data of the voucher identified by the area identification unit 21. When the determination result is false (No), the process proceeds to step S9, and when the determination result is true (Yes), the process proceeds to step S8.

  In step S8, the source element (for example, FAX number) in the FAX information area is extracted by the journal element extraction unit 22, and the process proceeds to step S9.

  In step S9, the voucher analysis unit 11 causes the issuer estimating unit 24 to compare the issuer element extracted in step S6 or step S8 with the supplier information stored in the supplier DB 23 (issuer). Estimation step).

  In step S10, the voucher analysis unit 11 outputs the supplier information having a high degree of coincidence with the extracted issuer element to the display unit 12 as the issuer estimation result by the issuer estimation unit 24 (issuer estimation step). . In step S10, the voucher analysis unit 11 also outputs the text of the journal element other than the issuer element extracted by the journal element extraction unit 22 to the display unit 12 in the same manner as in step S4. To end.

  As described above, the voucher analyzing unit 11 executes the routine each time the image data of the voucher is acquired by the image acquiring unit 20, thereby extracting and displaying the journal element including the issuer element from each image data. It can be output to the unit 12.

  Next, referring to FIG. 3, there is shown an explanatory diagram for estimating the issuer from the invoice including the imprint, and a specific procedure for estimating the issuer from the invoice will be described with reference to FIG.

  When the image data P of the invoice as shown in the left part of FIG. 3 is received by the image acquisition unit 20, the area corresponding to the journal element indicated by the dotted line is identified by the area identification unit 21. For example, an area including a journal element indicating a type of voucher, a “subject” corresponding to a summary, a “billing date” corresponding to a date, and a “total amount” corresponding to an amount is identified.

  The voucher analyzing unit 11 identifies the imprint area S by the area identifying unit 21 and identifies the issuer area A overlapping the imprint area S. Further, the journal element extracting unit 22 extracts the publisher element in the publisher area A as text. In the case of FIG. 3, the issuer elements extracted here are “ABCDEFG Inc.”, “$ 100-100”, “Kasumigaseki, Chiyoda-ku, Tokyo”, “TEL: 03-1234”, and “FAX: 03”. -9876-5432 ".

  Further, the voucher analysis unit 11 identifies the FAX information area F by the area identification unit 21, and the “FAX number: 03-9876-” which is the issuer element printed in the FAX information area F by the journal element extraction unit 22. 5432 "is extracted as text.

  Then, the issuer estimating unit 24 collates the extracted issuer elements with the supplier information stored in the supplier DB 23, and outputs a supplier with a high degree of coincidence as an issuer estimation result. Since the issuer estimation result is based on the supplier information stored in the supplier DB 23, it is output as information with no loss, and the information is used for the journal by the journalizing unit 14, for example.

  In the case of FIG. 3, “ABCDEFG Co., Ltd.”, “Kasumigaseki, Chiyoda-ku, Tokyo” and “TEL: 03-1234” extracted from the issuer area A are partially missing from the supplier information. Information, but the degree of matching is higher than other supplier information. Also, in the FAX information area F, since the FAX number can be extracted without any loss in the FAX information area F, the degree of coincidence becomes higher particularly with the FAX number.

  In addition, since "ABCABC" in the supplier information partially matches the supplier name, address, telephone number, and FAX number, for example, the information of "ABCABC" and "ABCDEFGH" are also included. The plurality of candidates may be output as issuer estimation results. In this case, the degree of coincidence of each candidate may be quantitatively indicated by percentage display or the like.

  As described above, in the accounting processing system 1 including the voucher analysis unit 11 according to the present embodiment, the journal element area including the journal element is identified from the image data of the voucher, and the issue indicating the voucher issue source is identified from the journal element area. By extracting the source element and comparing it with the supplier information in the supplier DB 23, the issuer can be estimated.

  In addition, the estimation of the issuer is performed according to the degree of coincidence between the issuer element and the supplier information. Even if characters of the publisher information are blurred or the publisher information is partially missing, it is possible to estimate and output an accurate publisher element that compensates for the loss from the supplier information.

  In particular, in the present embodiment, by identifying the area of the seal imprint and identifying the issuer area overlapping the area of the seal imprint, the issuer element is included even if a plurality of company names are described. Can be quickly recognized.

  Further, the voucher analysis unit 11 identifies the FAX information area in the image data of the voucher by the area identification unit 21 and extracts the issuer information from the FAX information area, so that the issuer can be more reliably estimated. it can.

  In this way, the issuer of the voucher can be more quickly and accurately recognized from the image data of the voucher, so that the confirmation and input of the issuer of the voucher can be reduced manually, and the input operation of the issuer can be reduced. Efficiency can be improved.

  The journalizing unit 14 performs journalizing based on the voucher journal element including the issuer element that is accurately estimated as described above, so that the accounting processing system 1 can realize accurate journal entries.

  The embodiment of the present invention has been described above, but aspects of the present invention are not limited to this embodiment.

  For example, in the above-described embodiment, the invoice illustrated in FIG. 3 has been described as an example. However, the voucher is not limited to the invoice, and is similarly applicable to a voucher including other imprints such as a receipt. .

  In the above embodiment, the journalizing unit 14 performs the automatic journalizing using the journal AI. However, the journal may be performed by an automatic journaling program that does not use the AI.

  In the above embodiment, the issuer information extracted from the issuer area is collated with the supplier information including the issuer element extracted from the FAX information area. However, the issuer information is not limited to this. Instead, other information stored in the supplier DB may be used.

  For example, the voucher analysis unit may identify the account information area B including the bank account information of the transfer destination described in FIG. 3 and extract the bank account information of the account information area as issuer information.

  Further, the voucher analysis unit may identify a number information area including a bill number (bill number) described in FIG. 3 and extract the bill number of the number information area as issuer information. Such number information is not limited to a billing number, but may be an estimate number for an estimate, or an order number for an order. In addition, numbers such as corporate numbers, business office numbers, and transaction codes may be used as issuer information.

  Further, the present invention is not limited to the example of FIG. 3, and the voucher analysis unit may identify the mail address information area including the mail address information and extract the mail address information of the mail address information area as the issuer information.

  As described above, the issuer can be more accurately estimated by using the issuer element in the area other than the issuer area B.

Reference Signs List 1 accounting processing system 2 communication network 3 reading device 4 information terminal 10 accounting processing device 11 voucher analysis unit (voucher analysis device)
DESCRIPTION OF SYMBOLS 12 Display part 13 Journal element determination part 14 Journal part 15 Learning system 20 Image acquisition part 21 Area identification part 22 Journal element extraction part (publisher extraction part)
23 Supplier database (storage unit)
24 Issuer Estimator

Claims (9)

A journal element area including a journal element is identified from the image data of the voucher, and it is determined whether or not an imprint area is identified among the identified journal element areas. a region identifying unit for identifying the issuing area overlapping the region,
An issuer element extraction unit that extracts an issuer element indicating the issuer of the voucher from the issuer area identified by the area identification unit,
A storage unit for storing supplier information;
An issuer element extracted by the issuer element extractor, and an issuer estimator for estimating the issuer of the voucher by comparing the supplier information stored in the storage unit;
A voucher analysis device comprising:
A journal element area including a journal element is identified from the image data of the voucher, and it is determined whether or not an imprint area is identified among the identified journal element areas. An area identification unit that identifies an issuer area including an issuer element that overlaps with the area;
An issuer element extraction unit that extracts an issuer element indicating the issuer of the voucher from the issuer area identified by the area identification unit,
A storage unit for storing supplier information;
An issuer element extracted by the issuer element extractor, and an issuer estimator for estimating the issuer of the voucher by comparing the supplier information stored in the storage unit;
With
The area identification unit can identify, as the journal element area, a FAX information area in which outgoing information is described at the time of FAX reception,
The issuer element extraction unit can extract the issuer element from the FAX information area identified by the area identification unit,
The issuing estimator, including the issuing elements extracted from the FAX information area, a row cormorants testimony possession analyzer collated with the stored client information in the storage unit.
A journal element area including a journal element is identified from the image data of the voucher, and it is determined whether or not an imprint area is identified among the identified journal element areas. An area identification unit that identifies an issuer area including an issuer element that overlaps with the area;
An issuer element extraction unit that extracts an issuer element indicating the issuer of the voucher from the issuer area identified by the area identification unit,
A storage unit for storing supplier information;
An issuer element extracted by the issuer element extractor, and an issuer estimator for estimating the issuer of the voucher by comparing the supplier information stored in the storage unit;
With
The area identification unit can identify an account information area in which bank account information is described as the journal element area,
The issuer element extraction unit can extract the issuer element from the account information area identified by the area identification unit,
The issuing estimation unit, the issue was extracted from the account information area including source element, matching the lines cormorants testimony possession analyzer of the stored client information in the storage unit.
A journal element area including a journal element is identified from the image data of the voucher, and it is determined whether or not an imprint area is identified among the identified journal element areas. An area identification unit that identifies an issuer area including an issuer element that overlaps with the area;
An issuer element extraction unit that extracts an issuer element indicating the issuer of the voucher from the issuer area identified by the area identification unit,
A storage unit for storing supplier information;
An issuer element extracted by the issuer element extractor, an issuer estimator that compares the supplier information stored in the storage unit to estimate the issuer of the voucher,
With
The area identification unit can identify, as the journal element area, a number information area in which unique number information unique to a supplier is described,
The issuer element extraction unit can extract the issuer element from the unique number information area identified by the area identification unit,
The issuing estimation unit, wherein including the unique number information issuing elements extracted from the region, the line cormorants testimony possession analyzer matching the client information stored in the storage unit.
A journal element area including a journal element is identified from the image data of the voucher, and it is determined whether or not an imprint area is identified among the identified journal element areas. An area identification unit that identifies an issuer area including an issuer element that overlaps with the area;
An issuer element extraction unit that extracts an issuer element indicating the issuer of the voucher from the issuer area identified by the area identification unit,
A storage unit for storing supplier information;
An issuer element extracted by the issuer element extractor, an issuer estimator that compares the supplier information stored in the storage unit to estimate the issuer of the voucher,
With
The area identification unit can identify a mail address information area in which mail address information is described as the journal element area,
The issuer element extraction unit is capable of extracting the issuer element from the mail address information area identified by the area identification unit,
The issuing estimation unit, the mail address information including the issuing elements extracted from the region, the line cormorants testimony possession analyzer matching the client information stored in the storage unit.
The publisher estimation unit, the publishing and issuing elements extracted by the original element extraction unit, according to claim 1 for estimating the issuer of the voucher in accordance with the degree of matching between the stored client information in the storage unit 6. The voucher analyzer according to any one of claims 1 to 5 .
A voucher analyzer according to any one of claims 1 to 6 ,
A journalizing unit that outputs an account corresponding to the journal element of the voucher including the issuer element.
By computer
A journal element area including a journal element is identified from the image data of the voucher, and it is determined whether or not an imprint area is identified among the identified journal element areas. a region identification step of identifying the issuing area overlapping the region,
An issuer element extraction step of extracting an issuer element indicating the issuer of the voucher from the issuer area identified by the area identification step,
An issuer element extracted in the issuer element extraction step, and an issuer estimation step of estimating the issuer of the voucher by comparing the supplier information stored in the storage unit;
Voucher analysis method to execute.
A voucher analysis program for causing a computer to execute the voucher analysis method according to claim 8 .

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