CN111199222B - Bill management method and electronic equipment - Google Patents
Bill management method and electronic equipment Download PDFInfo
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- CN111199222B CN111199222B CN201911397235.8A CN201911397235A CN111199222B CN 111199222 B CN111199222 B CN 111199222B CN 201911397235 A CN201911397235 A CN 201911397235A CN 111199222 B CN111199222 B CN 111199222B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The embodiment of the disclosure discloses a bill management method and electronic equipment. The bill management method comprises the following steps: acquiring bill data; identifying bill information based on the bill data, and updating an image relation table; and collecting the bills according to the identified bill information. The method and the device have the advantages that the acquired bill data are identified, so that the type of the bill and other bill information are identified, then the bill is classified according to the type of the bill, the classified bill is stored under the directory of a corresponding customer according to the classification, the problems that the bill types and the quantity are more and the sorting process is complicated are solved, and the efficiency is improved.
Description
Technical Field
The disclosure belongs to the technical field of data processing, and more particularly relates to a bill management method and electronic equipment.
Background
With the requirements of the national tax administration, small and miniature enterprises (including individual industry and commercial enterprises) need to establish a perfect financial accounting system and accept the supervision and management of tax departments. Because the financial system of the small and miniature enterprises is not sound or full-time financial staff is not available, financial intermediaries such as accounting offices, account-substituting companies and the like are required to provide services such as accounting, tax return and the like. In the existing mode, financial accounting staff of a financial and tax agency is required to provide relevant data information of original certificates such as invoices, expense bills and the like for the financial and tax agency to acquire financial data of the enterprise, and then the financial and tax agency company manually inputs bill information into a system and verifies the invoices, so that the bill is ensured to be effective and the data is error-free, and then subsequent accounting operation is carried out. Because business diversification of enterprises causes more types and quantity of bills, the sorting process is complicated, inspection is required according to the types of the bills and the places of the invoices in the sorting process, errors are easy to occur, and the efficiency is low.
Disclosure of Invention
In view of the above, embodiments of the present disclosure provide a bill management method and an electronic device, which at least solve the problems of a large number of types and numbers of bills and complicated sorting process in the prior art.
In a first aspect, an embodiment of the present disclosure provides a ticket management method, including:
acquiring bill data;
identifying bill information based on the bill data, and updating an image relation table;
and collecting the bills according to the identified bill information.
Optionally, the acquiring ticket data includes:
acquiring image data of a bill;
and storing the image data.
Optionally, the acquiring the image data of the ticket further includes:
and displaying the acquired image data.
Optionally, the identifying the bill information based on the bill data and updating the image relationship table include:
recognizing characters on the image data;
and updating the image relation table based on the identification result and the characters obtained by identification.
Optionally, the image relation table is predefined, and the image relation table includes a ticket ID, a ticket lot number, a ticket sequence number, a file name, an image status, an associated invoice, a creation time, an enterprise ID, and a timestamp.
Optionally, the bill lot number includes: the bill image data acquisition time and the bill image data acquisition sequence;
when the ticket image data acquisition time is changed, the ticket image data is recounted.
Optionally, the image state in the image relation table includes unrecognized, temporarily stored or successfully identified;
the unidentified judgment conditions include:
the bill type, the bill code and the bill number are all empty;
or (b)
Based on the bill code and the bill number, matching to the stored temporary storage bill which is not the bill per se;
the temporary storage judging conditions comprise:
based on the fact that the bill codes and the bill numbers are not matched with non-temporary storage bills, and the bill types are of a first preset type, the creation information of the bills is incomplete or the information of the bills is inconsistent with the set information;
or (b)
Matching the non-temporary storage bill to the associated image based on the bill code and the bill number;
the judging conditions for successful recognition include:
based on the fact that the bill codes and the bill numbers are matched to non-temporary storage bills, and the matched non-temporary storage bills have no associated images, associating the image data corresponding to the bill codes and the bill numbers with the matched non-temporary storage bills, and updating associated records;
or (b)
And based on the bill code and the bill number, the bill is not matched with the non-temporary storage bill, but the bill type is a second preset type, and the data of the formal bill is created to be complete.
Optionally, the updating the image relationship table based on the recognition result and the text obtained by recognition includes:
judging an identification result, wherein the identification result is one of unrecognized, temporarily stored or successfully identified;
supplementary recognition is carried out on the bill with the recognition result of unidentified or temporary storage;
and updating the image relation table based on the information of the supplementary identification.
Optionally, the method further comprises:
judging the image state as the bill type which is successfully identified;
and if the bill type is a third preset type, checking the bill.
In a second aspect, embodiments of the present disclosure further provide an electronic device, including:
a memory storing executable instructions;
a processor executing the executable instructions in the memory to implement the ticket management method of the first aspect.
According to the bill sorting method and device, the obtained bill data are identified, so that the type of the bill and other bill information are identified, then the bill is sorted according to the type of the bill, the sorted bill is stored under the directory of a corresponding customer according to the category, and therefore the problems that the bill types and the quantity are more and the sorting process is complicated are solved, and the efficiency is improved.
The points are repaired, so that the purpose of automatically solving the service faults of the container treatment platform is achieved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following more particular descriptions of exemplary embodiments of the disclosure as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout exemplary embodiments of the disclosure.
FIG. 1 illustrates a flow chart of a ticket management method according to one embodiment of the present disclosure;
FIG. 2 illustrates a flow diagram of a ticket scanning function process according to one embodiment of the present disclosure;
FIG. 3 illustrates a ticket scan data processing flow diagram according to one embodiment of the present disclosure;
FIG. 4 illustrates an enterprise ticket scanning and display diagram in accordance with an embodiment of the present disclosure.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below. While the preferred embodiments of the present disclosure are described below, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein.
The existing enterprise finance accounting can involve various notes, such as value-added tax receipts, travel slips, train tickets, taxi tickets and the like.
As shown in fig. 1, a ticket management method includes:
step S101: acquiring bill data;
the bill data acquisition mode can be used for acquiring bill image information through an external scanner device, can also be used for acquiring the bill image information on related websites through the Internet, acquiring electronic invoices through the Internet, acquiring train ticket information on train shopping websites and the like.
Step S102: identifying bill information based on the bill data, and updating an image relation table;
after the bill data is acquired, bill information on the bill, such as passenger information, departure place, destination and the like on the train ticket, can be identified, and for value-added tax invoices commonly used in enterprise management, the identified information is shown in fig. 4, and comprises serial numbers, batch numbers, image states, bill types, invoicing dates, invoice codes, purchasing tax numbers, invoicing parties, invoice amounts, invoice tax amounts, price tax totals and the like. And updating the image relation table according to the identified content. The format of the image relation table is shown in table 1, but the image relation table is not limited to table 1, and the user can adjust the content of table 1 according to the use condition. In the initialization process, an image relation table is created in a database, and identification bill information and file paths are stored in the table.
Table 1, image relation table:
step S103: and collecting the bills according to the identified bill information.
The identified bill information includes bill type, lot number, etc., such as identified invoice including train ticket, special invoice for value-added tax, general invoice for value-added tax, taxi ticket, etc. And then storing the train tickets, the value-added tax professional invoices, the value-added tax ordinary invoices and the taxi tickets under different catalogues, and storing according to different enterprise users, if the acquired train tickets in the tickets have enterprise a and enterprise b, storing the train tickets of the enterprise a under the train ticket file catalog of the enterprise a, and storing the train tickets of the enterprise b under the train ticket file catalog of the enterprise b.
Optionally, the acquiring ticket data includes:
acquiring image data of a bill;
and storing the image data.
Optionally, the acquiring the image data of the ticket further includes:
and displaying the acquired image data.
As shown in fig. 4, the acquired invoice information is displayed to an accounting person or the like through a display or the like.
Optionally, the identifying the bill information based on the bill data and updating the image relationship table include:
recognizing characters on the image data;
and updating the image relation table based on the identification result and the characters obtained by identification.
In a specific application scenario, image data of bills are collected through scanner equipment, so that the scanning of bills of added value tax bill, travel bill, train bill, taxi bill and other types is supported, scanned image information is uploaded to a cloud file server for electronic archiving, and meanwhile, the image information is automatically called into an OCR service, so that text information on the image data is identified.
Optionally, the image relation table is predefined, and the image relation table includes a ticket ID, a ticket lot number, a ticket sequence number, a file name, an image status, an associated invoice, a creation time, an enterprise ID, and a timestamp.
Optionally, the bill lot number includes: the bill image data acquisition time and the bill image data acquisition sequence;
when the ticket image data acquisition time is changed, the ticket image data is recounted.
For example, the 2 nd image data scanned on the 3 rd month and 20 th month in 2019 has a bill lot number of 201903200002, the bills on the day are numbered sequentially, and the 30 th image data scanned has a bill lot number of 201903200030. For example, the number of 1 st image data obtained by scanning on the 3 rd month 21 st 2019 is 201903210001, and the number is counted again from 1.
Optionally, the temporary storage and non-temporary storage are the image status of the invoice. The image state in the image relation table comprises unrecognized, temporarily stored or successfully identified;
the unidentified judgment conditions include:
the bill type, the bill code and the bill number are all empty;
or (b)
Based on the bill code and the bill number, matching to the stored temporary storage bill which is not the bill per se;
and matching the bill code and the bill number based on the bill A with the stored temporary bill B.
The temporary storage judging conditions comprise:
based on the fact that the bill codes and the bill numbers are not matched with non-temporary storage bills, and the bill types are of a first preset type, the creation information of the bills is incomplete or the information of the bills is inconsistent with the set information;
the first preset type comprises blank ticket, special ticket or common ticket.
Or (b)
Matching the non-temporary storage bill to the associated image based on the bill code and the bill number;
the judging conditions for successful recognition include:
based on the fact that the bill codes and the bill numbers are matched to non-temporary storage bills, and the matched non-temporary storage bills have no associated images, associating the image data corresponding to the bill codes and the bill numbers with the matched non-temporary storage bills, and updating associated records;
or (b)
And based on the bill code and the bill number, the bill is not matched with the non-temporary storage bill, but the bill type is a second preset type, and the data of the formal bill is created to be complete.
The second preset type is a coupon, etc.
Optionally, the updating the image relationship table based on the recognition result and the text obtained by recognition includes:
judging an identification result, wherein the identification result is one of unrecognized, temporarily stored or successfully identified;
supplementary recognition is carried out on the bill with the recognition result of unidentified or temporary storage;
and updating the image relation table based on the information of the supplementary identification.
Because some notes may not be automatically identified due to unclear display and other reasons, the information of the notes which are not identified needs to be subjected to supplementary identification, the notes which are not identified are sent to related personnel for supplementary identification according to the image state of the notes, and the related personnel input the identified information after identification so as to update the corresponding image relation table.
Optionally, the method further comprises:
judging the image state as the bill type which is successfully identified;
and if the bill type is a third preset type, checking the bill.
The third preset type is a value added tax special invoice.
In one particular application scenario of the present invention,
the bill management method operates in SAAS platform mode and adopts a financial and tax management system developed by JAVA language. The system adopts a cloud+end architecture design mode, the cloud end is responsible for the functions of bill image information identification, invoice checking, image storage, structured data storage, bill display, bill management and the like, and the PC end is responsible for the functions of bill scanning, image information uploading, cloud OSS file server and the like. In the system initialization process, an image relation table is created in a database, bill image information and file paths scanned by a scanner are stored in the table, and an OSS server creates a file storage path/scan files/{ enterprise ID }/{ cFileName }, which corresponds to the project, and is used for storing bill images uploaded by a PC.
Clicking the bill scanning menu, entering a bill management page, wherein the current page displays all bill lists of the enterprise, and the data items comprise serial numbers, batch numbers, image states, bill types, billing dates, invoice codes, invoice numbers, billing parties, invoice amounts, tax amounts and price tax total, and intuitively displaying the bill conditions of the enterprise, as shown in fig. 2. Double-clicking on the list is supported to view bill detailed information.
Clicking "scan", calling an ActiveX scan control interface through the front-end JS, selecting a scanner, when the current batch number is empty, automatically initializing the current scan batch number by the system, clicking "sweep next batch", triggering a new batch number, and calling a scanner initialization interface to scan notes. Lot number rules: the operation year and month (format: YYYYMMDD) +four-bit sequence number, the sequence number restarts counting after date change, a prompt box pops up after the scanning of the current batch of notes is finished, the 'finished batch number 201908170002, notes 2 are displayed', and the subsequent operation is continued after clicking determination.
The invoice pattern in fig. 4 is for illustration only, and the text above the invoice is not clear and does not affect the explanation of the embodiment.
As shown in fig. 3, in the scanning process, the scanner automatically stores the image information in the local computer hard disk, and the system can automatically display the image information in the page, so that the image information is convenient for the accountant to check. Meanwhile, an independent thread is started at the PC end, the image is uploaded to the OSS file server, after the specific cloud point clicks 'scanning', the PC end detects scanner drive and version information, and a scanning process is started to finish scanning initialization; after the scanner finishes bill scanning, the PC end renames the image and starts a new Thread () { public void rin () { OSSUtil. Upload (imgPath+fileName, file); and (3) uploading the image to an OSS file server for storage. Meanwhile, the system automatically calls OCR service, identifies bill information, records the image state (0-unidentified; 1-temporarily stored; 2-successfully identified), calls bill checking of the bill with the image state of 'successfully identified' and the bill type of value-added tax bill, and stores the structural data of the acquired bill full-bill surface information in a value-added tax bill table and associates the image information; the bill with the image state of 'temporary storage' or 'unrecognized' supports supplementary identification, after the data is supplemented, the bill is marked as 'successful identification', if the bill is a fee bill, the bill checking process is skipped to directly update a fee bill table, the image information is associated, and the subsequent business process is continued. In the scanning process, according to the identified structured data, the bill can be automatically collected under the corresponding enterprise name, and accounting staff is not required to manually collect the bill.
Embodiments of the present disclosure:
the method supports scanning and identifying of various types of bills, stores image information into structured data, automatically performs collection according to enterprises in the scanning process, establishes an electronic file for each bill for visual management, and supports checking of original images in subsequent business processes.
And the method supports extraction of the bill surface structured data from the identifiable bill, and when the bill image is fuzzy and cannot be extracted, a user can perform compensation operation by a manual maintenance method, so that the usability of the system is improved.
And the value-added tax invoice and the fee bill are uniformly managed, and the user can finish bill arrangement work without distinguishing the bill types independently in the scanning process. Meanwhile, all bill information is provided with a cloud server, users with different responsibilities are supported to work cooperatively, and the whole flow process of data is completed.
The method comprises the steps of supporting various different types of bills of enterprises to finish scanning through a scanner and automatically uploading cloud OSS file servers to collect images, establishing electronic files for all the bills of the enterprises to manage, meanwhile, identifying the bills by the images, acquiring bill structured data, automatically archiving according to tax numbers of the enterprises, and finishing bill arrangement work. The system supports the remote checking of the collected business bills and the operation of the subsequent business flow, solves the problem of cooperative work among staff with different responsibilities of financial and tax intermediaries, improves the bill arrangement accuracy and the working efficiency, and enhances the relevance and the searchability of the original bill images and the accounting data in the subsequent business processing flow.
The disclosed embodiments provide an electronic device comprising a memory and a processor,
a memory storing executable instructions;
and the processor runs executable instructions in the memory to realize the bill management method.
The memory is for storing non-transitory computer readable instructions. In particular, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform the desired functions. In one embodiment of the present disclosure, the processor is configured to execute the computer readable instructions stored in the memory.
It should be understood by those skilled in the art that, in order to solve the technical problem of how to obtain a good user experience effect, the present embodiment may also include well-known structures such as a communication bus, an interface, and the like, and these well-known structures are also included in the protection scope of the present disclosure.
The detailed description of the present embodiment may refer to the corresponding description in the foregoing embodiments, and will not be repeated herein.
A computer-readable storage medium according to an embodiment of the present disclosure has stored thereon non-transitory computer-readable instructions. When executed by a processor, perform all or part of the steps of the methods of embodiments of the present disclosure described above.
The computer-readable storage medium described above includes, but is not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or removable hard disk), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described.
Claims (8)
1. A ticket management method, comprising:
acquiring bill data;
identifying bill information based on the bill data, and updating an image relation table;
collecting bills according to the identified bill information;
the image relation table is predefined and comprises a bill ID, a bill lot number, a bill sequence number, a file name, an image state, an associated invoice, creation time, an enterprise ID and a timestamp;
the image state in the image relation table comprises unrecognized, temporarily stored or successfully identified;
the unidentified judgment conditions include:
the bill type, the bill code and the bill number are all empty;
or (b)
Based on the bill code and the bill number, matching to the stored temporary storage bill which is not the bill per se;
the temporary storage judging conditions comprise:
based on the fact that the bill codes and the bill numbers are not matched with non-temporary storage bills, and the bill types are of a first preset type, the creation information of the bills is incomplete or the information of the bills is inconsistent with the set information;
or (b)
Matching the non-temporary storage bill to the associated image based on the bill code and the bill number;
the judging conditions for successful recognition include:
based on the fact that the bill codes and the bill numbers are matched to non-temporary storage bills, and the matched non-temporary storage bills have no associated images, associating the image data corresponding to the bill codes and the bill numbers with the matched non-temporary storage bills, and updating associated records;
or (b)
And based on the bill code and the bill number, the bill is not matched with the non-temporary storage bill, but the bill type is a second preset type, and the data of the formal bill is created to be complete.
2. The ticket management method of claim 1, wherein the acquiring ticket data comprises:
acquiring image data of a bill;
and storing the image data.
3. The ticket management method according to claim 2, wherein the acquiring image data of the ticket further comprises:
and displaying the acquired image data.
4. The ticket management method according to claim 2, wherein the updating the image relationship table based on the ticket data identification ticket information comprises:
recognizing characters on the image data;
and updating the image relation table based on the identification result and the characters obtained by identification.
5. The ticket management method of claim 1, wherein the ticket lot number comprises: the bill image data acquisition time and the bill image data acquisition sequence;
when the ticket image data acquisition time is changed, the ticket image data is recounted.
6. The ticket management method according to claim 4, wherein updating the image relationship table based on the recognition result and the recognized text comprises:
judging an identification result, wherein the identification result is one of unrecognized, temporarily stored or successfully identified;
supplementary recognition is carried out on the bill with the recognition result of unidentified or temporary storage;
and updating the image relation table based on the information of the supplementary identification.
7. The ticket management method of claim 5, further comprising:
judging the image state as the bill type which is successfully identified;
and if the bill type is a third preset type, checking the bill.
8. An electronic device, the electronic device comprising:
a memory storing executable instructions;
a processor executing the executable instructions in the memory to implement the method of any of claims 1-7.
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| CN111858976A (en) * | 2020-06-24 | 2020-10-30 | 苏宁云计算有限公司 | Bill data processing method and device, computer equipment and storage medium |
| CN111737503B (en) * | 2020-06-24 | 2022-11-18 | 苏宁云计算有限公司 | Bill information filing method and device, computer equipment and storage medium |
| CN113112709A (en) * | 2021-04-23 | 2021-07-13 | 中国建设银行股份有限公司 | Method, device, self-service terminal and system for managing bill image pictures |
| CN115271893A (en) * | 2022-06-08 | 2022-11-01 | 广西产研院人工智能与大数据应用研究所有限公司 | Method and device for managing fee bill and storage medium |
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| Feature tracking and matching in video using programmable graphics hardware;Sinha S N等;《Machine Vision and Applications》;第22卷;207-217 * |
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