CN111797837A - Intelligent receipt reimbursement method, system, computer equipment and storage medium - Google Patents
Intelligent receipt reimbursement method, system, computer equipment and storage medium Download PDFInfo
- Publication number
- CN111797837A CN111797837A CN202010623221.XA CN202010623221A CN111797837A CN 111797837 A CN111797837 A CN 111797837A CN 202010623221 A CN202010623221 A CN 202010623221A CN 111797837 A CN111797837 A CN 111797837A
- Authority
- CN
- China
- Prior art keywords
- reimbursement
- information
- document
- intelligent
- bill
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 86
- 238000013499 data model Methods 0.000 claims abstract description 86
- 238000006243 chemical reaction Methods 0.000 claims abstract description 18
- 238000004458 analytical method Methods 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims description 75
- 238000012790 confirmation Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 14
- 238000005516 engineering process Methods 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 9
- 230000000977 initiatory effect Effects 0.000 claims description 6
- 238000012015 optical character recognition Methods 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 4
- 230000006399 behavior Effects 0.000 claims description 2
- 238000007689 inspection Methods 0.000 abstract description 14
- 238000010586 diagram Methods 0.000 description 13
- 230000008569 process Effects 0.000 description 12
- 230000006870 function Effects 0.000 description 9
- 230000003287 optical effect Effects 0.000 description 8
- 238000012550 audit Methods 0.000 description 6
- 230000000007 visual effect Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- 230000004308 accommodation Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910002056 binary alloy Inorganic materials 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
- G06Q40/125—Finance or payroll
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a method, a system, computer equipment and a storage medium for intelligent reimbursement of documents. The method comprises the following steps: receiving electronic document information, wherein the electronic document information comprises at least one of a document picture and an electronic document; identifying electronic document information and forming structured document information; carrying out archiving analysis on the structured document information and carrying out model conversion to obtain reimbursement document data model information; and generating the reimbursement bill based on the reimbursement bill data model information. By the mode, the method and the device can improve the consistency, accuracy and compliance of bill filling, reduce manual filling information and realize automatic filling of reimbursement bills and inspection of bill compliance.
Description
Technical Field
The present application relates to the field of image recognition technologies, and in particular, to a method, a system, a computer device, and a storage medium for intelligent reimbursement of documents.
Background
Along with the development of enterprises, the number of employees is continuously increased, and the financial account reporting problem is increasingly highlighted. When the financial affairs are reimbursed, the reimbursement personnel are required to manually fill in information such as reimbursement types, reimbursement contents, reimbursement reasons, reimbursement amounts and the like, and related personnel are required to sign, so that the efficiency is low, and secondly, errors are easily caused when too many bills are required to be reimbursed. Meanwhile, the financial staff needs to manually check the account-posting documents filled by the account-posting staff and check the validity of the bills, so that the whole account-posting process is complicated.
Disclosure of Invention
The application provides a method, a system, computer equipment and a storage medium for intelligent reimbursement of documents, which can reduce the flow of manually filling reimbursement notes and checking documents, thereby improving the reimbursement efficiency.
In order to solve the technical problem, the application adopts a technical scheme that: an intelligent document reimbursement method is provided. The method comprises the following steps: receiving electronic document information, wherein the electronic document information comprises at least one of a document picture and an electronic document; identifying electronic document information and forming structured document information; carrying out archiving analysis on the structured document information and carrying out model conversion to obtain reimbursement document data model information; and generating the reimbursement bill based on the reimbursement bill data model information.
In order to solve the above technical problem, another technical solution adopted by the present application is: an intelligent document reimbursement method is provided. The method comprises the following steps: acquiring electronic document information, wherein the electronic document information comprises at least one of a document picture and an electronic document; uploading electronic information of the document to an intelligent reimbursement processing terminal, wherein the intelligent reimbursement processing terminal is used for identifying the electronic information of the document and forming structured document information, and performing filing analysis and model conversion according to the structured document information to obtain reimbursement document data model information; receiving and confirming reimbursement bill data model information sent by the intelligent reimbursement processing terminal, and sending a confirmation result to the intelligent reimbursement processing terminal, wherein the intelligent reimbursement processing terminal is also used for generating reimbursement bills based on the structured bill information; and receiving the reimbursement receipt sent by the intelligent reimbursement processing terminal.
In order to solve the above technical problem, another technical solution adopted by the present application is: an intelligent reimbursement system for documents is provided. The system comprises: the mobile terminal is in communication connection with the intelligent reimbursement processing terminal; the mobile terminal comprises a first processor and a first memory, and the first processor realizes the intelligent reimbursement method of the bill of the application when executing the data stored in the first memory; the intelligent reimbursement processing terminal comprises a first processor and a first memory, and the intelligent reimbursement method of the document is realized when the first processor executes the data stored in the first memory.
In order to solve the above technical problem, another technical solution adopted by the present application is: a computer program is provided. The computer program comprises a processor, a memory and a stored computer program, and the processor executes the program so as to realize automatic filling of the reimbursement bill and the inspection of the document compliance.
In order to solve the above technical problem, another technical solution adopted by the present application is: a computer storage medium is provided. The computer storage medium has stored thereon a computer program that, when executed by the processor, implements automatic filling of reimbursement notes and document compliance audit.
The beneficial effect of this application is: and the intelligent reimbursement processing terminal receives the electronic document information uploaded by the mobile terminal by utilizing the existing communication mode in the system, wherein the electronic document information comprises at least one of a document picture and an electronic document. Then, the intelligent reimbursement processing terminal can identify the acquired electronic document information and form structured document information, and the structured document information is filed, analyzed and subjected to model conversion to obtain reimbursement document data model information; and finally generating the required reimbursement document based on the reimbursement document data model information. By the method, the consistency, accuracy and compliance of bill filling are improved, manual filling information is reduced, and automatic filling of the reimbursement bill and inspection of bill compliance are finally realized.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram illustrating a first embodiment of a method for intelligent reimbursement of documents provided herein;
FIG. 2 is a schematic diagram of a data model of a reimbursement document obtained during multi-invoice recognition according to a first embodiment of the intelligent reimbursement method for documents provided by the present application;
FIG. 3 is a schematic flow chart of a first embodiment of a method for intelligent reimbursement of documents provided by the present application, between steps S300 and S400;
FIG. 4 is a schematic flow chart of the first embodiment of the intelligent reimbursement method for documents provided in the present application, between steps S300 and S400;
FIG. 5 is a schematic structural diagram illustrating a method for checking authenticity of a document based on reimbursement document data model information according to a first embodiment of the method for intelligent reimbursement of documents provided by the present application;
FIG. 6 is a schematic flow chart diagram illustrating a second embodiment of a method for intelligent reimbursement of documents provided by the present application;
FIG. 7 is a schematic diagram illustrating a first embodiment of a document intelligent reimbursement system provided herein;
FIG. 8 is a flowchart of the full-braking form-filling operation in a first embodiment of the intelligent reimbursement system for documents provided herein;
FIG. 9 is a schematic diagram of a computer device provided herein;
fig. 10 is a schematic structural diagram of a computer storage medium provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first", "second" and "third" in this application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any indication of the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. All directional indications (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are only used to explain the relative positional relationship between the components, the movement, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indication is changed accordingly. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
The inventor of the application discovers through long-term research that in the prior art, when an account-posting person walks the reimbursement process after invoicing, the account-posting person needs to fill in an account-posting list manually and send the corresponding bill to a financial department after finishing and pasting the bill. If too many bills are used, the efficiency is low and filling errors can be caused; meanwhile, after receiving the bill and the bill, the financial staff need to check the bill and the corresponding bill manually, and need to log in a tax bureau system to check the validity of the bills, so that the whole billing process is complicated. Based on this, in order to reduce manual information filling during account reporting and achieve automatic filling of reimbursement slips and document compliance audit, the following embodiments are provided in the present application.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a first embodiment of an intelligent reimbursement method for documents according to the present application. The intelligent reimbursement method of the receipt comprises the following steps:
s100: and receiving electronic information of the document.
And the intelligent reimbursement processing terminal receives the electronic information sent by the mobile terminal, wherein the electronic information of the document is at least one of a document picture or an electronic document. For example, the mobile terminal is a mobile phone: the document picture needing to be reimbursed is obtained through a mobile phone photographing function or directly from a mobile phone photo album, the document picture is sent to the intelligent reimbursement processing terminal through communication connection between the mobile terminal and the intelligent reimbursement processing terminal, and the intelligent reimbursement processing terminal receives the document picture uploaded by the mobile phone. Wherein, the document picture and the electronic document can be as follows: train tickets, bus tickets, air ticket travel lists, taxi tickets, quota invoices and the like.
And the intelligent reimbursement processing terminal performs the step S200 after receiving the electronic document information.
S200: document electronic information is identified and structured document information is formed.
The intelligent reimbursement processing terminal identifies the electronic information of the document through an optical character identification technology, extracts the full-ticket information of the document, such as the ticket information of the invoice number, the invoice code, the amount of money, the tax amount, the date and the like, and forms structured invoice information and an electronic image. The optical character recognition system comprises a multi-type invoice recognition engine, fuzzy characters are recognized by the multi-engine recognition engine, accurate data are obtained through machine learning, and therefore unnecessary manual intervention is reduced.
For example: the intelligent reimbursement processing terminal identifies common invoice vouchers related to business such as travelling or expense reimbursement and the like through an optical character identification technology, and the common invoice vouchers comprise value-added tax special invoices (such as purchase invoices and the like), common invoices (such as bus invoices, taxi invoices and the like), and professional invoices (such as train invoices, air ticket travel lists, ship invoices and the like), extracts invoice information such as invoice numbers, invoice codes, money, tax amount, date and the like on the invoices, and archives original invoice images.
The difficulty of a feature extraction algorithm is reduced by the following method for identifying electronic information of a document by an optical character identification technology, and the identification precision can be improved:
firstly, separating and extracting a full machine printing character binary image from an invoice image; then, performing structured data conversion on the full machine-printed character binary image to obtain a corresponding reverse image; then, performing connected domain connection on the reverse image to obtain a corroded block image; and finally, detecting the external rectangular boundary of the corroded block image, and detecting the position information of the top point and the bottom point of each reimbursement information block, so that the difficulty of a feature extraction algorithm can be reduced.
S300: and carrying out filing analysis on the structured document information and carrying out model conversion to obtain reimbursement document data model information.
And the intelligent reimbursement processing terminal writes the acquired receipt information into information on the reimbursement receipt data model according to the set relationship between the invoice type and the reimbursement type through the corresponding relationship maintenance function between the invoice type and the reimbursement type in the system.
For example: the invoice needing to be reimbursed by the reimbursement personnel is a train ticket, and after the intelligent reimbursement processing terminal obtains the structured document information of the train ticket uploaded by the mobile terminal, the intelligent reimbursement processing terminal judges that the train ticket is of a traffic reimbursement category according to the set corresponding relation between the invoice type and the reimbursement category. Thus, when the model conversion is performed on the train ticket, the system automatically "recommends" to display a traffic fee reimbursement form for guiding the staff to quickly select the correct reimbursement category when reimbursing. And the intelligent reimbursement processing end fills the information of the train ticket according to the traffic reimbursement model.
For the document data model, one case: when a single invoice is identified by an optical character identification technology, only invoice information such as an invoice number, an invoice code, money, tax amount, date and the like on the invoice need to be displayed, and a single thumbnail is provided.
In another case: when multiple invoices are identified by an optical character identification technology, invoice collecting information and thumbnails are displayed in a grouped manner according to picture files, and cutting lines are displayed in the thumbnails according to an invoice viewing sequence, specifically referring to fig. 2, wherein fig. 2 is a schematic diagram of a reimbursement invoice data model obtained when multiple invoices are identified in the first embodiment of the intelligent reimbursement method for invoices provided by the application.
After the intelligent reimbursement system obtains the reimbursement document data model information, step S400 is executed.
S400: and generating the reimbursement bill based on the reimbursement bill data model information.
In this embodiment, the generating of the reimbursement form based on reimbursement form data model information obtained from the structured form information further includes the following steps, which may be specifically refer to fig. 3, where fig. 3 is a schematic flowchart between steps S300 and S400 in the first embodiment of the intelligent reimbursement method for forms provided in this application.
S310: and sending the reimbursement document data model information to the mobile terminal.
And after the intelligent reimbursement processing terminal performs archiving analysis on the structured document information and performs model conversion to obtain reimbursement document data model information, the intelligent reimbursement processing terminal transmits the reimbursement document data model information to the mobile terminal through communication connection between the mobile terminal and the intelligent reimbursement processing terminal.
S320: and receiving the confirmation result of the reimbursement document data model fed back by the mobile terminal, and generating the reimbursement document according to the confirmation result of the reimbursement document data model.
After the mobile terminal obtains the reimbursement document data model information, the reimbursement personnel check the reimbursement document data model according to the document information through the visual interface and can modify the information of the reimbursement document data model through the editing function. When the reimburser confirms that the reimbursement document data model is correct, the process proceeds to step S321.
S321: and if the reimbursement bill data model fed back by the mobile terminal confirms that the result is correct, generating the reimbursement bill according to the reimbursement bill data model information.
When the reimburser confirms that the reimbursement document data model is incorrect, the process proceeds to step S322.
S322: if the return invoice data model fed back by the mobile terminal confirms that the information is wrong, receiving corrected return invoice data model information sent by an intelligent return request terminal; and generating the reimbursement bill based on the corrected reimbursement bill data model information.
When the reimbursement personnel confirms that the reimbursement document data model is wrong, the document data model information is corrected through the editing function of the visual interface, the corrected reimbursement document data model is sent to the intelligent reimbursement processing terminal through the communication connection between the mobile terminal and the intelligent reimbursement processing terminal, and the intelligent reimbursement processing terminal receives the corrected document data model information and generates an reimbursement document based on the corrected reimbursement document data model information.
In addition, before generating an reimbursement document based on reimbursement document data model information, the present embodiment further includes the following steps, specifically referring to fig. 4, where fig. 4 is a further schematic flow diagram between steps S300 and S400 in the first embodiment of the intelligent reimbursement method for documents provided in the present application.
S410: and checking the authenticity of the document based on the reimbursement document data model information.
The value-added tax invoice can be automatically connected with a tax bureau to check the authenticity of the document, and the check result is displayed on the identification result page.
When the document checking result is true, the step S411 is performed.
S411: and if the document is true, acquiring a base bill corresponding to the document through a national tax bureau, and verifying the structured document information based on the base bill.
S412: and if the receipt is not true, sending the checking result and the structured receipt information to the intelligent reimbursement request terminal, receiving the corrected structured receipt information fed back from the intelligent reimbursement request terminal, and checking the authenticity of the receipt again.
For how to check the authenticity of the document based on the reimbursement document data model information, reference is specifically made to fig. 5, and fig. 5 is a schematic structural diagram illustrating how to check the authenticity of the document based on the reimbursement document data model information in the first embodiment of the intelligent reimbursement method for the document provided by the application.
After the intelligent reimbursement processing terminal acquires the reimbursement document data model information confirmed by the mobile terminal, the intelligent reimbursement processing terminal acquires document information provided by an reimbursement person from an invoice pool (an entry invoice and a sales invoice), tax office data (a ledger, an authentication deduction and a tax payment) and enterprise intelligent tax data (tax registration data, income transaction and invoicing, cost transaction and invoicing, financial data, deduction authentication data and tax payment data) of the tax office through connection with the tax office, performs true and false inspection on the document, finally feeds back an inspection result (inspection consistency, inspection inconsistency, no such ticket inspection and invalidation) to the mobile terminal, and displays the inspection result on an editable interface of the mobile terminal. And when the value-added tax invoice is checked to be consistent, acquiring invoice structural information from the national tax ledger library, and increasing the identification accuracy. The identification result is not allowed to be modified for the invoice which is checked to be consistent; for invoices which are not checked to be consistent (inconsistent checking, no ticket checking and invalid), the identification result can be modified to be checked again, and if the invoice is still checked to be inconsistent, a rule checking warning is given and the invoice is not reimbursed.
After verifying the authenticity of the document based on reimbursement document data model information, repeated reimbursement checking is required, and the method comprises the following specific steps:
s420: checking whether the structured document information has generated an reimbursement document.
S421: and if the invoice text information is confirmed to generate the reimbursement bill, stopping generating the reimbursement bill based on the structured bill information again.
In the embodiment, whether the invoice needing to be reimbursed currently is in an occupied state in an invoice information storage table of the intelligent reimbursement processing end is retrieved through the four invoice elements, and if the invoice is reimbursed, the identification result is used as a check certificate for repeated reimbursement.
The intelligent reimbursement processing end also needs to perform financial reimbursement check after repeatedly reimbursement checking the document, and the method comprises the following specific steps:
s430: and performing financial reimbursement check on the reimbursement document based on the user information.
The specific financial reimbursement checking content is as follows:
verifying reimbursement eligibility of the current user based on the user information;
verifying whether the reimbursement behavior of the current user accords with the reimbursement system or not based on the user information;
verifying whether the reimbursement form template matches the structured document information based on the user information;
acquiring matched reimbursement standards based on the user information, and verifying whether the cost in the reimbursement document exceeds the standard based on the reimbursement standards;
acquiring borrowing information of a current user based on the user information, and verifying and canceling the expense of the reimbursement receipt based on the borrowing information;
and acquiring the same reimbursement item applied by the current user based on the user information, and summarizing the cost based on the same reimbursement item.
In addition, in this embodiment, the policy generation function may be set by a user according to the service specification. For example: after the invoice is generated, the invoice image is automatically uploaded to the accessory, and the document accessory is added in a photographing uploading and local uploading mode, including but not limited to invoice, notice, outgoing examination and approval bill and the like. The method supports automatic filling of the single number of the attached documents through the number of the attached documents when the documents are generated, but manual modification can be performed without checking when the number of the attached documents is changed in the process of filling the documents.
In this embodiment, the method further includes step S500.
S500: and sending the reimbursement receipt to the mobile terminal.
After the reimbursement document is submitted to the mobile terminal, the mobile terminal can call the full operation of the shared service, carry out intelligent audit control on the document, ensure the document compliance and reduce the reimbursement risk. The optional contents of the intelligent audit rule comprise the following contents:
in this embodiment, by using the existing communication mode in the system, the intelligent reimbursement processing terminal receives the electronic document information uploaded by the mobile terminal, wherein the electronic document information includes at least one of a document picture and an electronic document. Then, the intelligent reimbursement processing terminal can identify the acquired electronic document information and form structured document information, and the structured document information is filed, analyzed and subjected to model conversion to obtain reimbursement document data model information; and generating the required reimbursement document based on the reimbursement document data model information, and finally sending the reimbursement document which is verified and confirmed to be correct to the mobile terminal. By the method, the consistency, accuracy and compliance of bill filling are improved, manual filling information is reduced, and automatic filling of the reimbursement bill and inspection of bill compliance are finally realized.
In addition to the above embodiments, the present application provides the following embodiments, please continue to refer to fig. 6, and fig. 6 is a flowchart illustrating a second embodiment of an intelligent reimbursement method for documents provided by the present application.
S600: and acquiring electronic information of the document.
And calling a mobile phone camera to take a picture or selecting one or more document vouchers in a mobile phone photo album by using an invoice bookkeeping function of the mobile reimbursement application. The document electronic information comprises at least one of a document picture and an electronic document.
S700: and uploading the electronic information of the document to an intelligent reimbursement processing terminal, wherein the intelligent reimbursement processing terminal is used for identifying the electronic information of the document, forming structured document information, filing and analyzing the structured document information, performing model conversion and obtaining reimbursement document data model information.
And the mobile terminal sends the obtained document voucher to the intelligent reimbursement processing terminal for information acquisition through communication connection with the intelligent reimbursement processing terminal. The intelligent reimbursement terminal automatically extracts full invoice face information of the invoice, structured information of the travel invoice (invoice information such as invoice number, invoice code, amount, tax amount and date) and an electronic image through an optical character recognition technology. The supported invoice types comprise common invoices in reimbursement services such as value-added tax special invoices, value-added tax common invoices and the like, such as train tickets, bus tickets, air ticket travel lists, taxi tickets, quota invoices and the like. After the intelligent reimbursement processing end forms a structured document, the intelligent reimbursement processing end then writes the information on the reimbursement document data model according to the relationship between the set invoice type and reimbursement category through the invoice type and reimbursement category corresponding relationship maintenance function in the system.
S800: receiving and confirming reimbursement bill data model information sent by the intelligent reimbursement processing terminal, and sending a confirmation result to the intelligent reimbursement processing terminal, wherein the intelligent reimbursement processing terminal is also used for generating reimbursement bills based on the structured bill information;
after the mobile terminal receives the reimbursement document data model information sent by the intelligent reimbursement processing terminal, reimbursement personnel can check the reimbursement document data model according to the document information through a visual interface, and the information of the reimbursement document data model can be modified through an editing function when errors occur. And after the confirmation is correct, the mobile terminal sends the confirmation result to the intelligent reimbursement processing terminal, so that the intelligent reimbursement processing terminal can generate the reimbursement receipt based on the structured receipt information.
S900: and receiving the reimbursement receipt sent by the intelligent reimbursement processing terminal.
The method comprises the steps that a mobile terminal acquires electronic information of a document by utilizing an existing communication mode in a system, wherein the electronic information of the document comprises at least one of a document picture and an electronic document, then the mobile terminal uploads the acquired electronic information of the document to an intelligent reimbursement processing terminal, the intelligent reimbursement processing terminal identifies the electronic information of the document after acquiring the uploaded electronic information of the document to form structured document information, and the structured document information is filed, analyzed and subjected to model conversion to obtain reimbursement document data model information; and then the mobile terminal receives and confirms the reimbursement document data model information sent by the intelligent reimbursement processing terminal, and finally sends a confirmation result to the intelligent reimbursement processing terminal, so that the intelligent reimbursement processing terminal is also used for generating the reimbursement document based on the structured document information. By the method, the consistency, accuracy and compliance of bill filling are improved, manual filling information is reduced, and automatic filling of the reimbursement bill and inspection of bill compliance are finally realized.
In addition to the above embodiments, the present application provides another embodiment, please continue to refer to fig. 7, and fig. 7 is a schematic structural diagram of a first embodiment of an intelligent reimbursement system for documents provided by the present application.
The intelligent reimbursement system comprises a mobile terminal and an intelligent reimbursement processing terminal, wherein the mobile terminal is in communication connection with the intelligent reimbursement processing terminal, the mobile terminal comprises a first processor and a first memory, and the intelligent form filling method is realized when the first processor executes data stored in the first memory; the intelligent reimbursement processing terminal comprises a second processor and a second memory, and the intelligent form filling method is realized when the second processor executes the data stored in the second memory.
In this embodiment, taking an invoice as an example, the specific implementation method of the intelligent reimbursement system is as follows:
obtaining invoice electronic information (electronic invoices and photos) required to be reimbursed by a user from a mobile terminal, uploading the invoice electronic information to an intelligent reimbursement processing terminal in a binary system form, carrying out image restoration on the uploaded binary information by the intelligent reimbursement processing terminal by adopting an optical character recognition technology, carrying out feature extraction by using an image recognition technology, analyzing and converting the feature into character information, carrying out structural processing on the information to form structural document information, then carrying out model conversion on the structural document information to obtain an invoice data model and sending the invoice data model to the mobile terminal. And the mobile terminal performs visual interface rendering on the invoice data model after obtaining the invoice data model and provides an editing function, and a reimbursement process can be initiated to the intelligent reimbursement system after the user confirms that the information is correct. In the initiating process, the intelligent reimbursement system automatically generates reimburseable document types through a series of preset scenes and fully automatically fills all items needing reimbursement. Specifically, reference may be made to fig. 8 for a full-braking form filling work flow, where fig. 8 is a flow chart of the full-braking form filling work flow in the first embodiment of the intelligent document reimbursement system provided in the present application, and a specific method is as follows:
s401: and initiating invoice inspection to the tax bureau.
Initiating invoice checking to a tax bureau through the four invoice elements to obtain an inspection result, if the document is true, obtaining a base bill corresponding to the document through the national tax bureau, and verifying the structured document information based on the base bill; and if the receipt is not true, sending the checking result and the structured receipt information to the intelligent reimbursement request terminal, receiving the corrected structured receipt information fed back from the intelligent reimbursement request terminal, and checking the authenticity of the receipt again.
S402: and storing the current invoice image information.
And storing the acquired invoice image information for later verification of financial auditors during reimbursement. Wherein the saving of the images provides unstructured data storage by the ECM (picture management) of the intelligent reimbursement system. The image can be stored in a hard disk, a database, a cloud and other storage modes.
S403: and saving the data submitted by the current user.
The data submitted by the user comprises invoice information, user information, image information and the like, and the current data is marked to be in an un-reimbursement state.
S404: and repeating reimbursement and inspection.
And searching whether the current invoice is in an occupied state in an invoice identification result table through the four invoice elements, and when the current invoice is in the occupied state, indicating that the invoice has been reimbursed, and using the checking result as a checking certificate for reimbursement.
S405: and screening out a proper reimbursement bill and carrying out document model conversion.
And screening out a proper reimbursement bill and carrying out bill model conversion through a pre-designed invoice type and reimburseable bill mapping relation.
For example, the travel expense reimbursement bill has a corresponding relation with invoices such as value-added tax invoices, train tickets, taxi tickets, air ticket travel lists and the like, and after the train tickets or the air ticket travel lists are identified through optical characters, the system can automatically recommend and display the travel expense reimbursement bill when the reimbursement category is selected.
S406: and automatically filling the invoice in the invoice data model and the invoice model.
In the embodiment, the matched items are converted into the documents by the invoices through field comparison. In the conversion process, the information (company, department, contact information, job level, region and the like) of the current user in the system is obtained according to the binding of the login user and the reimburser, and the data (such as the contact information, the job level and the like) which do not exist in some original invoice data models are automatically filled into the reimbursement bill.
S407: and (5) controlling and checking financial reimbursement.
After the model conversion is completed, performing financial reimbursement control verification according to current user information (such as job level, department, company and region), specifically comprising: budget control, internal control compliance, audit control, reimbursement standards, loan verification and cancellation, data statistics and the like.
In addition, the latest traffic fee deduction rule is set in the intelligent reimbursement system, after the mobile terminal collects traffic ticket information, the traffic deductible tax amount is automatically calculated according to the built-in rule, and after document auditing is completed, the tax amount is automatically checked according to the certificate rule, so that price and tax separation is realized.
And a reimbursement standard is embedded in the intelligent reimbursement system: the system can configure reimbursement standards aiming at different expense types, such as subsidy standards, accommodation standards, transportation standards, communication expense standards, conference expense standards and the like, based on multiple dimensions of countries, cities, job levels, business trip types, thin and busy seasons and the like. For the subsidy standard, the subsidy unit price can be intelligently obtained according to the standard dimension, the subsidy days are calculated according to the business trip period, the subsidy total amount can be automatically calculated based on the subsidy unit price and the subsidy days, the accuracy is improved, and meanwhile manual operation is reduced.
For example, reimbursement criteria within the system are (unit: Yuan/person. day): accommodation fee: section level: 1100: beijing, Shanghai, 900: jiangsu province, Zhejiang province, Fujian province, Xiamen city, Henan province, the factory is 800: tianjin City, Hebei province, Shanxi province, inner Mongolia and Liaoning province; other persons: the weight ratio of 650: beijing, 600: shanghai city, 550: guangdong province, Shenzhen city, 490: dalian city, Jiangsu province, Qingdao city.
By the method, the application provides an intelligent reimbursement system for documents, which comprises: the mobile terminal is in communication connection with the intelligent reimbursement processing terminal, wherein the mobile terminal comprises a first processor and a first memory, and the first processor implements the intelligent form filling method when executing data stored in the first memory; the intelligent reimbursement processing terminal comprises a second processor and a second memory, and the intelligent form filling method is realized when the second processor executes data stored in the second memory, so that the consistency, accuracy and compliance of the form filling are improved, manual filling information is reduced, and automatic reimbursement filling and form compliance audit is finally realized.
For the above embodiments, the present application provides a computer device, and please refer to fig. 9 specifically, where fig. 9 is a schematic structural diagram of the computer device provided in the present application. The device 910 comprises a processor 911 and a memory 912, wherein the processor 911 is coupled to the memory 912, the memory 912 stores a computer program, and the processor 911 is used for executing the computer program to implement the intelligent reimbursement method for a document.
In this embodiment, the processor 911 may also be referred to as a CPU (Central Processing Unit). The processor 911 may be an integrated circuit chip having signal processing capabilities. The processor 911 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general-purpose processor may be a microprocessor or the processor 911 may be any conventional processor or the like.
For the method of the above embodiment, it may exist in the form of a computer program, and therefore the present invention provides a computer storage medium, please refer to fig. 10, where fig. 10 is a schematic structural diagram of the computer storage medium provided in this application. A computer storage medium 920 of the present embodiment stores therein a computer program 921 that can be executed to implement the method of the above-described embodiments.
A computer storage medium 920 of this embodiment may be a medium that can store program instructions, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, or may also be a server that stores the program instructions, and the server may send the stored program instructions to other devices for operation, or may self-operate the stored program instructions.
In the embodiments provided in the present invention, it should be understood that the disclosed method and apparatus can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product stored in a computer storage medium and including instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And a computer storage medium of the foregoing comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (17)
1. An intelligent reimbursement method for documents, which is characterized in that the intelligent reimbursement method comprises the following steps:
receiving electronic document information, wherein the electronic document information comprises at least one of a document picture and an electronic document;
identifying the document electronic information and forming structured document information;
filing and analyzing the structured document information and performing model conversion to obtain reimbursement document data model information;
and generating the reimbursement bill based on the reimbursement bill data model information.
2. The intelligent reimbursement method for documents according to claim 1, wherein said generating an reimbursement document based on reimbursement document data model information derived from structured document information comprises:
sending the reimbursement bill data model information to a mobile terminal;
and receiving the confirmation result of the reimbursement bill data model fed back by the mobile terminal, and generating the reimbursement bill according to the confirmation result of the reimbursement bill data model.
3. The intelligent reimbursement method for documents according to claim 2, wherein said receiving the confirmation result of the reimbursement document data model information fed back by the mobile terminal, and generating the reimbursement document according to the confirmation result of the reimbursement document data model information comprises:
if the reimbursement bill data model fed back by the mobile terminal confirms that the reimbursement bill data model confirms the error, generating the reimbursement bill according to the reimbursement bill data model information;
if the return receipt data model confirmation result fed back by the mobile terminal is that the information is wrong, receiving corrected return receipt data model information sent by the mobile terminal;
and generating the reimbursement bill based on the corrected reimbursement bill data model information.
4. The intelligent reimbursement method for documents according to any one of claims 1 to 3, characterized in that after generating the reimbursement document based on the reimbursement document data model information, the method further comprises:
and sending the reimbursement receipt to the mobile terminal.
5. A document intelligent reimbursement method according to any one of claims 1-3, characterized in that said identifying document electronic information and forming structured document information identifies said document electronic information by optical character recognition technology.
6. The intelligent reimbursement method for documents according to any one of claims 1-3, wherein before generating the reimbursement document based on reimbursement document data model information, the method further comprises:
and checking the authenticity of the bill based on the reimbursement bill data model information.
7. The intelligent reimbursement method for documents according to claim 6, wherein said verifying the authenticity of said documents based on reimbursement document data model information further comprises:
checking the authenticity of the document through a national tax bureau;
if the bill is true, acquiring a base bill corresponding to the bill through the national tax bureau, and verifying the structured bill information based on the base bill;
and if the bill is not true, sending a checking result and the structured bill information to the mobile terminal, receiving the corrected structured bill information fed back from the mobile terminal, and checking the authenticity of the bill again.
8. The intelligent reimbursement method for documents according to any one of claims 1-3, wherein before generating the reimbursement document based on reimbursement document data model information, the method further comprises:
checking whether the structured document information has generated an reimbursement document;
and if the invoice text information is confirmed to generate the reimbursement bill, stopping generating the reimbursement bill based on the structured bill information again.
9. The intelligent reimbursement method for documents according to any one of claims 1-3, wherein before generating the reimbursement document based on reimbursement document data model information, the method further comprises:
and performing financial reimbursement check on the reimbursement document based on the user information.
10. The intelligent reimbursement method for documents according to claim 9, wherein said financial reimbursement verification of said reimbursement document based on user information comprises:
verifying reimbursement eligibility for a current user based on the user information;
verifying whether the reimbursement behavior of the current user conforms to a reimbursement system or not based on the user information;
verifying whether the reimbursement form template matches the structured document information based on the user information;
acquiring matched reimbursement standards based on the user information, and verifying whether the cost in reimbursement bills exceeds the standard based on the reimbursement standards;
acquiring borrowing information of a current user based on the user information, and verifying the expense of the reimbursement receipt based on the borrowing information;
and acquiring the same reimbursement item applied by the current user based on the user information, and summarizing the cost based on the same reimbursement item.
11. An intelligent reimbursement method for documents is characterized by comprising the following steps:
acquiring electronic document information, wherein the electronic document information comprises at least one of a document picture and an electronic document;
uploading the electronic document information to an intelligent reimbursement processing terminal, wherein the intelligent reimbursement processing terminal is used for identifying the electronic document information and forming structured document information, and performing filing analysis and model conversion according to the structured document information to obtain reimbursement document data model information;
receiving and confirming the reimbursement bill data model information sent by the intelligent reimbursement processing terminal, and sending a confirmation result to the intelligent reimbursement processing terminal, wherein the intelligent reimbursement processing terminal is further used for generating an reimbursement bill based on the structured bill information;
and receiving the reimbursement receipt sent by the intelligent reimbursement processing terminal.
12. The intelligent reimbursement method for documents according to claim 11, wherein said receiving and confirming said reimbursement document data model information sent by said intelligent reimbursement processing terminal, and sending said confirmation result to said intelligent reimbursement processing terminal comprises:
if the reimbursement bill data model is judged to be correct, feeding back a result of correct confirmation to the intelligent reimbursement processing terminal;
and if the reimbursement bill data model is judged to be wrong, feeding the corrected reimbursement bill data model information back to the intelligent reimbursement processing terminal, and generating an reimbursement bill by the intelligent reimbursement processing terminal based on the corrected reimbursement bill data model information.
13. The intelligent reimbursement method for documents according to claim 11, wherein after receiving the reimbursement document sent by the intelligent reimbursement processor, the method further comprises:
initiating a charge reimbursement based on the reimbursement document.
14. The intelligent reimbursement method for documents according to claim 13, wherein said initiating a charge reimbursement based on the reimbursement document comprises:
and if the reimbursement bill has errors, initiating expense reimbursement based on the corrected reimbursement bill.
15. An intelligent reimbursement system for documents, comprising:
a mobile terminal;
the mobile terminal is in communication connection with the intelligent reimbursement processing terminal;
wherein the mobile terminal comprises a first processor and a first memory, and the first processor implements the method of intelligent form filling according to any one of claims 1-14 when executing the data stored in the first memory; the intelligent reimbursement processing terminal comprises a second processor and a second memory, and the second processor executes the data stored in the second memory to realize the intelligent form filling method according to any one of claims 1-14.
16. A computer device comprising a processor, a memory and stored program data, the processor when executing the program data implementing the steps of the method according to any of claims 1-10 or 11-14.
17. A computer storage medium, characterized in that the computer storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any one of claims 1-10 or 11-14.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010623221.XA CN111797837A (en) | 2020-06-30 | 2020-06-30 | Intelligent receipt reimbursement method, system, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010623221.XA CN111797837A (en) | 2020-06-30 | 2020-06-30 | Intelligent receipt reimbursement method, system, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111797837A true CN111797837A (en) | 2020-10-20 |
Family
ID=72810859
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010623221.XA Pending CN111797837A (en) | 2020-06-30 | 2020-06-30 | Intelligent receipt reimbursement method, system, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111797837A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112232045A (en) * | 2020-10-23 | 2021-01-15 | 四川大学锦城学院 | Automatic enterprise account-reporting management system and management method thereof |
| CN112784567A (en) * | 2021-01-28 | 2021-05-11 | 浪潮通用软件有限公司 | Account-reporting realization method, equipment and medium |
| CN112883858A (en) * | 2021-02-07 | 2021-06-01 | 北京奥普思凯科技有限公司 | Reimbursement invoice auditing method and device and storage medium |
| CN112967121A (en) * | 2021-02-04 | 2021-06-15 | 金蝶软件（中国）有限公司 | Image retrieval method and device and computer storage medium |
| CN113011959A (en) * | 2021-05-24 | 2021-06-22 | 国能大渡河大数据服务有限公司 | Seven-expense intelligent auditing system and use method thereof |
| CN113222723A (en) * | 2021-05-25 | 2021-08-06 | 支付宝(杭州)信息技术有限公司 | Bill processing method, device, equipment and storage medium |
| CN113627438A (en) * | 2021-08-09 | 2021-11-09 | 三峡高科信息技术有限责任公司 | Method and system for automatically reimbursing travel expenses based on bill recognition and configuration engine |
| CN113723919A (en) * | 2021-08-26 | 2021-11-30 | 东方电气自动控制工程有限公司 | Management system based on cloud platform |
| CN114155071A (en) * | 2021-10-12 | 2022-03-08 | 远光软件股份有限公司 | Reimbursement receipt generation method, system and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377342A (en) * | 2018-12-04 | 2019-02-22 | 金蝶软件（中国）有限公司 | Bill processing method, device, computer equipment and storage medium |
| CN109636556A (en) * | 2018-12-07 | 2019-04-16 | 用友网络科技股份有限公司 | Document recommended method and system, computer readable storage medium |
| CN110851677A (en) * | 2019-11-18 | 2020-02-28 | 深圳春沐源控股有限公司 | Reimbursement certificate processing method, device, terminal and computer readable storage medium |
| CN111127180A (en) * | 2019-12-20 | 2020-05-08 | 深圳供电局有限公司 | System and method for intelligently auditing financial documents |
-
2020
- 2020-06-30 CN CN202010623221.XA patent/CN111797837A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377342A (en) * | 2018-12-04 | 2019-02-22 | 金蝶软件（中国）有限公司 | Bill processing method, device, computer equipment and storage medium |
| CN109636556A (en) * | 2018-12-07 | 2019-04-16 | 用友网络科技股份有限公司 | Document recommended method and system, computer readable storage medium |
| CN110851677A (en) * | 2019-11-18 | 2020-02-28 | 深圳春沐源控股有限公司 | Reimbursement certificate processing method, device, terminal and computer readable storage medium |
| CN111127180A (en) * | 2019-12-20 | 2020-05-08 | 深圳供电局有限公司 | System and method for intelligently auditing financial documents |
Non-Patent Citations (1)
| Title |
|---|
| 王月琴等: "数字印前图文处理实务教程", 上海交通大学出版社, pages: 94 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112232045A (en) * | 2020-10-23 | 2021-01-15 | 四川大学锦城学院 | Automatic enterprise account-reporting management system and management method thereof |
| CN112784567A (en) * | 2021-01-28 | 2021-05-11 | 浪潮通用软件有限公司 | Account-reporting realization method, equipment and medium |
| CN112967121A (en) * | 2021-02-04 | 2021-06-15 | 金蝶软件（中国）有限公司 | Image retrieval method and device and computer storage medium |
| CN112883858A (en) * | 2021-02-07 | 2021-06-01 | 北京奥普思凯科技有限公司 | Reimbursement invoice auditing method and device and storage medium |
| CN113011959A (en) * | 2021-05-24 | 2021-06-22 | 国能大渡河大数据服务有限公司 | Seven-expense intelligent auditing system and use method thereof |
| CN113222723A (en) * | 2021-05-25 | 2021-08-06 | 支付宝(杭州)信息技术有限公司 | Bill processing method, device, equipment and storage medium |
| CN113627438A (en) * | 2021-08-09 | 2021-11-09 | 三峡高科信息技术有限责任公司 | Method and system for automatically reimbursing travel expenses based on bill recognition and configuration engine |
| CN113723919A (en) * | 2021-08-26 | 2021-11-30 | 东方电气自动控制工程有限公司 | Management system based on cloud platform |
| CN113723919B (en) * | 2021-08-26 | 2024-01-12 | 东方电气自动控制工程有限公司 | Management system based on cloud platform |
| CN114155071A (en) * | 2021-10-12 | 2022-03-08 | 远光软件股份有限公司 | Reimbursement receipt generation method, system and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111797837A (en) | Intelligent receipt reimbursement method, system, computer equipment and storage medium | |
| CN107608958B (en) | Contract text risk information mining method and system based on unified modeling of clauses | |
| US7444354B2 (en) | Method and apparatus for storing images, method and apparatus for instructing image filing, image storing system, method and apparatus for image evaluation, and programs therefor | |
| US20150286860A1 (en) | Method and Device for Generating Data from a Printed Document | |
| CN114495085B (en) | Reimbursement method for online identification and management of multi-platform invoice | |
| CN110516664A (en) | Bill identification method and device, electronic equipment and storage medium | |
| TW202115669A (en) | Electronic visa application method and device | |
| CN116128458B (en) | Intelligent automatic auditing system for hospital expense card account reporting | |
| CN111931780A (en) | Intelligent management method and equipment for accounting documents | |
| CN110675234A (en) | Electronic newspaper bill generation method and electronic equipment | |
| CN110750302B (en) | Assembly line account making method for accountant | |
| KR20140110777A (en) | Information processing system, information processing apparatus, method of controlling an information processing apparatus, and program | |
| CN111652699A (en) | Data transmission method for tax receipt system | |
| CN117807967A (en) | Financial account reporting method and device based on OCR intelligent form filling and electronic equipment | |
| CN117670208A (en) | Enterprise conference expense reimbursement single key generation method, equipment and storage medium | |
| CN117541180A (en) | Invoice processing method, invoice processing device and invoice processing medium | |
| CN112785402A (en) | Bill information processing method, bill information processing system, and storage medium | |
| CN116798061A (en) | Bill auditing and identifying method, device, terminal and storage medium | |
| CN115310414A (en) | Intelligent reimbursement bill generation method and device and storage medium | |
| JP2017054385A (en) | Payment slip processing system and payment slip processing method | |
| CN112801765B (en) | Method, device and system for generating reimbursement file, electronic equipment and storage medium | |
| CN111476148B (en) | Mobile terminal-based academic record photo collection system and method | |
| CN113781191A (en) | Automatic certificate marking method and system, corresponding equipment and storage medium | |
| CN112270426A (en) | Method and system for self-service remote reservation of file burning | |
| TW201033915A (en) | Bill integrating system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201020 |