CN111199222A - Bill management method and electronic equipment - Google Patents

Bill management method and electronic equipment Download PDF

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CN111199222A
CN111199222A CN201911397235.8A CN201911397235A CN111199222A CN 111199222 A CN111199222 A CN 111199222A CN 201911397235 A CN201911397235 A CN 201911397235A CN 111199222 A CN111199222 A CN 111199222A
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bill
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data
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CN111199222B (en
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杨占晓
程丹
陈乃明
王红瓅
许�鹏
张丹
吴磊
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Aisino Software Technology Co ltd
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    • G06V10/20Image preprocessing
    • G06V10/22Image 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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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. Through discerning acquireing the bill data to discern the type of bill and other bill information, then classify the bill according to the type of bill, and deposit the bill after classifying under corresponding customer's directory according to the classification, thereby solved bill kind and quantity more, the comparatively loaded down with trivial details problem of arrangement process, improved efficiency.

Description

Bill management method and electronic equipment
Technical Field
The disclosure belongs to the technical field of data processing, and more particularly relates to a bill management method and an electronic device.
Background
With the requirements of the national tax administration, small and micro enterprises (including individual industrial 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 perfect or has no full-time financial staff, the services such as accounting, tax declaration and the like are required to be provided by finance and tax intermediaries such as an accounting firm, an accounting agency and the like. In the prior art, in order to acquire financial data of an enterprise, an accounting staff of a finance and tax intermediary needs the enterprise to provide the enterprise with relevant data information of original vouchers such as invoices and expense bills, and then the finance and tax intermediary company manually inputs bill information into a system and verifies the invoices, so that subsequent bookkeeping operation is performed after the bills are effective and the data are correct. Due to the fact that business of enterprises is diversified, the types and the number of bills are large, the arrangement process is complicated, checking is needed according to the types of the bills and the positions of the bills in the arrangement process, mistakes are prone to occurring, and efficiency is low.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a bill management method and an electronic device, which at least solve the problems in the prior art that the types and the number of bills are large and the arrangement process is complicated.
In a first aspect, an embodiment of the present disclosure provides a bill 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 the ticket data includes:
acquiring image data of the bill;
and storing the image data.
Optionally, the acquiring image data of the bill 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 recognition result and the characters obtained by recognition.
Optionally, the image relationship table is predefined, and the image relationship table includes a bill ID, a bill batch number, a bill sequence number, a file name, an image state, an associated invoice, creation time, an enterprise ID, and a timestamp.
Optionally, the bill lot number includes: acquiring time and order of bill image data;
and when the bill image data acquisition time is changed, counting the bill image data again.
Optionally, the image state in the image relationship table includes unrecognized state, temporary storage state, or successful recognition;
the unidentified judgment condition includes:
the bill type, the bill code and the bill number are all null;
or
Matching the stored temporary storage bills which are not self based on the bill codes and the bill numbers;
the temporary storage judgment conditions comprise:
on the basis that the bill code and the bill number are not matched with the non-temporary storage bill, and the bill type is a first preset type, the creating information of the bill is incomplete or the information of the bill is not in accordance with the set information;
or
Matching the non-temporary storage bill of the associated image based on the bill code and the bill number;
the judgment condition for successful identification comprises:
based on the fact that the bill code and the bill number are matched to a non-temporary storage bill, and the matched non-temporary storage bill has no associated image, associating image data corresponding to the bill code and the bill number with the matched non-temporary storage bill, and updating an associated record;
or
And on the basis that the bill code and the bill number are not matched with the non-temporary storage bill, the bill type is a second preset type, and the data of the formal bill is completely created.
Optionally, the updating the image relationship table based on the recognition result and the characters obtained by the recognition includes:
judging an identification result, wherein the identification result is one of unidentified result, temporary storage result or successful identification result;
performing supplementary recognition on the bill which is not recognized or temporarily stored in the recognition result;
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 successfully identified;
and if the bill type is a third preset type, checking the bill.
In a second aspect, an embodiment of the present disclosure further provides 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.
This is disclosed through discerning acquireing the bill data to discern the type of bill and other bill information, then classify the bill according to the type of bill, and deposit corresponding customer's directory with the bill after classifying according to the classification under, thereby solved bill kind and quantity more, the comparatively loaded down with trivial details problem of arrangement process, improved efficiency.
And repairing the points so as to achieve the aim of automatically solving the self service fault of the container management platform.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in greater detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
FIG. 1 shows a flow diagram of a method of ticket management according to one embodiment of the present disclosure;
FIG. 2 illustrates a flow diagram of ticket scanning functionality processing 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 bill scanning and presentation diagram according to one embodiment of the present disclosure.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below. While the following describes preferred embodiments of the present disclosure, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein.
The existing enterprise financial bookkeeping relates to various bills, such as value-added tax invoices, travel lists, train tickets, taxi tickets and the like.
As shown in fig. 1, a ticket management method includes:
step S101: acquiring bill data;
the mode of acquiring the bill data can acquire the bill image information through an external scanner device, can also acquire the bill image information on related websites through the internet, and can acquire electronic invoices through the internet, 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 obtained, the bill information on the bill can be identified, such as the passenger information, the departure place, the destination and the like on the train ticket, and for value-added tax invoices commonly used in enterprise operation, the identified information is shown in fig. 4 and comprises a serial number, a batch number, an image state, a bill type, an invoicing date, an invoice code, a purchaser tax number, an invoicing party, an invoice amount, an invoice tax amount, a price tax sum and the like. And updating the image relation table according to the identified content. The format of the video relation table is shown in table 1, but the video relation table is not limited to table 1, and the user can adjust the contents of table 1 according to the use condition of the user. In the initialization process, an image relation table is established in a database, and identification bill information and a file path are stored in the table.
Table 1, image relationship table:
Figure BDA0002346629870000051
Figure BDA0002346629870000061
step S103: and collecting the bills according to the identified bill information.
The identified bill information comprises the bill type, the batch number and the like, for example, the identified invoice comprises a train ticket, a special invoice with sharp added value, a common invoice with sharp added value, a taxi ticket and the like. And then storing the train tickets, the sharp value-added professional invoices, the sharp value-added common invoices and the taxi tickets in different catalogues, and storing the train tickets, the sharp value-added common invoices and the taxi tickets according to different enterprise users, wherein the train tickets in the obtained invoices are of enterprises a and b. The train ticket of the enterprise a is stored in the train ticket file directory of the enterprise a, and the train ticket of the enterprise b is stored in the train ticket file directory of the enterprise b.
Optionally, the acquiring the ticket data includes:
acquiring image data of the bill;
and storing the image data.
Optionally, the acquiring image data of the bill further includes:
and displaying the acquired image data.
As shown in fig. 4, the acquired invoice information is displayed to the accountant or the like via 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 recognition result and the characters obtained by recognition.
In a specific application scene, the scanner device is used for collecting image data of bills, scanning the bills of value-added tax receipts, travel lists, train tickets, taxi tickets and the like, uploading the scanned image information to a cloud file server for electronic filing, and automatically calling OCR (optical character recognition) service to recognize character information on the image data.
Optionally, the image relationship table is predefined, and the image relationship table includes a bill ID, a bill batch number, a bill sequence number, a file name, an image state, an associated invoice, creation time, an enterprise ID, and a timestamp.
Optionally, the bill lot number includes: acquiring time and order of bill image data;
and when the bill image data acquisition time is changed, counting the bill image data again.
For example, the note lot number of the 2 nd image data scanned on the 20 th day of 3.2019 is 201903200002, the note sequence number of the day is numbered, and the note lot number of the 30 th image data scanned is 201903200030. If the image data of the 1 st image is scanned 3, 21, 2019, the number is counted again from 1 and is 201903210001.
Optionally, the image state of the invoice is temporarily stored or not temporarily stored. The image state in the image relation table comprises unidentified state, temporary storage state or successful identification;
the unidentified judgment condition includes:
the bill type, the bill code and the bill number are all null;
or
Matching the stored temporary storage bills which are not self based on the bill codes and the bill numbers;
such as matching to the stored B temporary bill based on the bill code and the bill number of the A invoice.
The temporary storage judgment conditions comprise:
on the basis that the bill code and the bill number are not matched with the non-temporary storage bill, and the bill type is a first preset type, the creating information of the bill is incomplete or the information of the bill is not in accordance with the set information;
the first preset type comprises an empty ticket, a special ticket or a general ticket and the like.
Or
Matching the non-temporary storage bill of the associated image based on the bill code and the bill number;
the judgment condition for successful identification comprises:
based on the fact that the bill code and the bill number are matched to a non-temporary storage bill, and the matched non-temporary storage bill has no associated image, associating image data corresponding to the bill code and the bill number with the matched non-temporary storage bill, and updating an associated record;
or
And on the basis that the bill code and the bill number are not matched with the non-temporary storage bill, the bill type is a second preset type, and the data of the formal bill is completely created.
The second preset type is a general ticket or the like.
Optionally, the updating the image relationship table based on the recognition result and the characters obtained by the recognition includes:
judging an identification result, wherein the identification result is one of unidentified result, temporary storage result or successful identification result;
performing supplementary recognition on the bill which is not recognized or temporarily stored in the recognition result;
and updating the image relation table based on the information of the supplementary identification.
Some bills may not be automatically recognized due to reasons such as unclear display, so that supplementary recognition needs to be performed on bill information which cannot be recognized, the bill which cannot be recognized is sent to related personnel according to the image state of the bill for supplementary recognition, and the recognized information is input after the related personnel recognize the bill so as to update the corresponding image relation table.
Optionally, the method further comprises:
judging the image state as the bill type successfully identified;
and if the bill type is a third preset type, checking the bill.
The third preset type is value-added tax special invoice.
In a particular application scenario,
the bill management method is operated in a financial and tax management system developed by adopting JAVA language based on SAAS platform mode. The system adopts a cloud + end architecture design mode, the cloud end is responsible for functions of bill image information identification, bill checking, image storage, structured data storage, bill display, bill management and the like, and the PC end is responsible for functions of bill scanning, image information uploading to a cloud end OSS file server and the like. In the system initialization process, an image relation table is established in a database, the bill image information and the file path scanned by a scanner are stored in the table, and an OSS server establishes a file storage path/scanfiles/{ enterprise ID }/{ cFileName } corresponding to a project and is used for storing the bill image uploaded by a PC terminal.
As shown in fig. 2, clicking the bill scanning menu to enter the bill management page, displaying all bill lists of the enterprise on the current page, as shown in fig. 4, the data items include "serial number", "batch number", "image status", "bill type", "billing date", "invoice code", "invoice number", "billing party", "invoice amount", "tax amount", "price and tax amount", and visually displaying the bill condition of the enterprise. The support list double-clicks to view the bill details.
Clicking scanning, calling an ActiveX scanning control interface through the front end JS, selecting a scanner, when the current batch number is empty, automatically initializing the current scanning batch number by the system, clicking scanning the next batch, triggering a new batch number, calling the scanner initialization interface, and scanning the bill. Batch number rules: operating year and month (format: YYYYMMDD) + four-digit sequence number, counting the sequence number again after the date changing, popping up a prompt box after the scanning of the current batch of bills is finished, showing that the batch number is 201908170002 finished and the bills are 2, clicking to confirm, and continuing the subsequent operation.
The invoice drawing in fig. 4 is for illustration only, and the text above the invoice is unclear 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 into the local computer hard disk, and the system automatically displays the image information on a page, so that an accountant can conveniently check the image information. Meanwhile, the PC end starts an independent thread to upload the image to an OSS file server, and after the specific cloud end clicks scanning, the PC end detects the drive and version information of the scanner and starts a scanning process to complete scanning initialization; after the scanner finishes the bill scanning, the PC side renames the image and starts a new Thread ({ public void run () { OSSUtil. upload (imgPath + fileName, file); and 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-unrecognized; 1-temporary storage; 2-successful identification), calls invoice inspection for the bill with the image state of 'successful identification' and the bill type of a value-added tax invoice, obtains the structural data of the whole bill face information, stores the structural data in a value-added tax invoice table, and associates the image information; the bill with the image state of 'temporary storage' or 'unidentified' supports supplementary identification, after the data supplement is finished, the bill is marked as 'identification success', if the bill is a fee bill, the bill checking process is skipped to directly update the fee bill table, the image information is related, and the subsequent business process is continued. In the scanning process, according to the identified structured data, the bills can be automatically collected under the corresponding enterprise names without being manually collected by an accountant.
The embodiment of the disclosure:
the method supports various bills to be scanned and identified, transfers image information into structured data, automatically collects the image information according to enterprises in the scanning process, establishes electronic files for each bill to perform visual management, and supports the viewing of original images in subsequent business processes.
The method supports that the bill face structured data can be extracted from the recognizable bill, and when the bill is blurred in image and cannot be extracted, a user can perform compensation operation by a manual maintenance method, so that the system availability is improved.
The value-added tax invoice and the expense bill are managed in a unified mode, and the user can finish the bill sorting work without distinguishing the bill types independently in the scanning process. Meanwhile, all bill information is stored in the cloud server, and users with different responsibilities are supported to perform work cooperation so as to complete the whole-flow processing of data.
The bill supporting multiple different types of enterprises is scanned through the scanner and automatically uploaded to the cloud OSS file server to perform image collection, an electronic file is established for all bills of the enterprises to be managed, meanwhile, bill identification is performed on the image, bill structured data are obtained, and the bill structured data are automatically filed according to enterprise tax numbers to complete bill arrangement work. The system supports remote checking of the collected business bills and subsequent business process operation, solves the problem of cooperative work among employees with different responsibilities of a finance and tax intermediary, improves bill sorting accuracy and work efficiency, and simultaneously enhances the relevance and the detectability of original bill images and financial data in the subsequent business processing process.
An embodiment of the present disclosure provides an electronic device comprising a memory and a processor,
a memory storing executable instructions;
and the processor executes the executable instructions in the memory to realize the bill management method.
The memory is to store non-transitory computer readable instructions. In particular, the memory may include one or more computer program products that 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), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of the disclosure, the processor is configured to execute the computer readable instructions stored in the memory.
Those skilled in the art should understand that, in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus, an interface, and the like, and these well-known structures should also be included in the protection scope of the present disclosure.
For the detailed description of the present embodiment, reference may be made to the corresponding descriptions in the foregoing embodiments, which are not repeated herein.
A computer-readable storage medium according to an embodiment of the present disclosure has non-transitory computer-readable instructions stored thereon. The non-transitory computer readable instructions, when executed by a processor, perform all or a portion of the steps of the methods of the embodiments of the disclosure previously described.
The computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROMs and DVDs), magneto-optical storage media (e.g., MOs), magnetic storage media (e.g., magnetic tapes or removable disks), media with built-in rewritable non-volatile memory (e.g., memory cards), and media with built-in ROMs (e.g., ROM cartridges).
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.

Claims (10)

1. A method for bill management, comprising:
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.
2. The ticket management method of claim 1, wherein said acquiring ticket data comprises:
acquiring image data of the bill;
and storing the image data.
3. The bill management method according to claim 2, wherein the acquiring of the image data of the bill further comprises:
and displaying the acquired image data.
4. The bill management method according to claim 2, wherein said identifying bill information based on said bill data and updating a visual relationship table comprises:
recognizing characters on the image data;
and updating the image relation table based on the recognition result and the characters obtained by recognition.
5. The ticket management method of claim 4,
the image relation table is predefined and comprises a bill ID, a bill batch number, a bill sequence number, a file name, an image state, an associated invoice, creation time, an enterprise ID and a timestamp.
6. The ticket management method of claim 5, wherein the ticket lot number comprises: acquiring time and order of bill image data;
and when the bill image data acquisition time is changed, counting the bill image data again.
7. The bill management method according to claim 5, wherein the image status in the image relation table includes unrecognized, temporarily stored or successfully recognized;
the unidentified judgment condition includes:
the bill type, the bill code and the bill number are all null;
or
Matching the stored temporary storage bills which are not self based on the bill codes and the bill numbers;
the temporary storage judgment conditions comprise:
on the basis that the bill code and the bill number are not matched with the non-temporary storage bill, and the bill type is a first preset type, the creating information of the bill is incomplete or the information of the bill is not in accordance with the set information;
or
Matching the non-temporary storage bill of the associated image based on the bill code and the bill number;
the judgment condition for successful identification comprises:
based on the fact that the bill code and the bill number are matched to a non-temporary storage bill, and the matched non-temporary storage bill has no associated image, associating image data corresponding to the bill code and the bill number with the matched non-temporary storage bill, and updating an associated record;
or
And on the basis that the bill code and the bill number are not matched with the non-temporary storage bill, the bill type is a second preset type, and the data of the formal bill is completely created.
8. The bill management method according to claim 7, wherein updating the image relation table based on the recognition result and the recognized character includes:
judging an identification result, wherein the identification result is one of unidentified result, temporary storage result or successful identification result;
performing supplementary recognition on the bill which is not recognized or temporarily stored in the recognition result;
and updating the image relation table based on the information of the supplementary identification.
9. The ticket management method of claim 7, further comprising:
judging the image state as the bill type successfully identified;
and if the bill type is a third preset type, checking the bill.
10. An electronic device, characterized in that the electronic device comprises:
a memory storing executable instructions;
a processor executing the executable instructions in the memory to implement the method of any one of claims 1-9.
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