File processing method and device, equipment and medium

Abstract

The invention provides a file processing method and device, equipment and a medium, and relates to the technical field of computers, the method is applied to an image system, the image system is connected with a file management system, a tax management system and an intelligent identification platform, and the method comprises the following steps: obtaining a to-be-processed file from the file management system; sending an identification request to the intelligent identification platform to obtain a first identification result fed back by the intelligent identification platform; determining a target file attribute corresponding to the to-be-processed file; if it is determined that the target file attribute is a first preset file attribute, sending a first verification request to a tax management system to obtain a first verification result fed back by the tax management system, and storing the to-be-processed file, the first identification result and the first verification result; and if it is determined that the target file attribute is the second preset file attribute, storing the to-be-processed file and the first identification result. According to the invention, the problems of large workload and low working efficiency in the existing manual filling and verification work of the image file can be effectively solved.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular, to a file processing method, a file processing device, an electronic device, and a machine-readable storage medium. Background Art

[0002] The filling and auditing modes of traditional image files (such as financial reimbursement vouchers) mainly rely on manual work, and there are many problems with this mode. Among them, in the filling link, there are problems such as a large amount of content, long time consumption, and easy errors. In the auditing link, there are also problems such as a large amount of checking work, low efficiency, and easy omission and misaudit.

[0003] Specifically, in the filling link, employees need to manually fill in a large amount of data, including expense items, amounts, dates, and other information, and must fill in according to the regulations of the financial department. Manual filling is prone to errors, such as calculation errors, data omission, or inconsistency.

[0004] In the auditing link, financial personnel need to manually check the attached image files such as vouchers, forms, pictures, and PDFs uploaded, which includes comparing the information on the vouchers with the actual situation one by one, and checking whether the names, standards, data, amounts, etc. are consistent between the reimbursement vouchers and the attachments, between different attachments, and between different pages of the same attachment. In addition, financial personnel also need to record the audit results and relevant information in a specific document or system. This process not only makes the audit speed slow, but also manual auditing is inevitably prone to negligence and errors, which may lead to inaccuracy of financial data, thus affecting the financial decision-making and business operations of the enterprise. For example, some key information may be missed, or there may be auditing errors, resulting in risks such as omission and misaudit.

[0005] In summary, there are many disadvantages in the filling and auditing modes of traditional image files, not only low efficiency, but also easy to make mistakes, with risks such as omission and misaudit, affecting the efficiency and quality of enterprise financial management. Summary of the Invention

[0006] The purpose of the embodiments of this application is to provide a file processing method, a file processing device, a device, and a medium to solve the problems of large workload and low work efficiency in manually completing the filling and verification of image files in the prior art.

[0007] To achieve the above purpose, in the first aspect of this application, a file processing method is provided, which is applied to an image system. The image system is connected to a file management system, a tax management system, and an intelligent recognition platform. The method includes:

[0008] Obtain a to-be-processed file from the file management system;

[0009] Send an identification request to the intelligent identification platform to obtain a first identification result fed back by the intelligent identification platform; wherein, the identification request includes the file to be processed and its file type, and the first identification result is obtained after the target preset identification model identifies the file to be processed according to the target preset identification rules;

[0010] Determine the target file attribute corresponding to the file to be processed according to the file type of the file to be processed; wherein, the target file attribute is the first preset file attribute or the second preset file attribute;

[0011] If it is determined that the target file attribute is the first preset file attribute, send a first verification request to the tax management system to obtain a first verification result fed back by the tax management system, and store the file to be processed and its corresponding first identification result and first verification result; wherein, the first verification request includes the first identification result, and the first verification result is obtained after verifying the first identification result according to the target preset verification rules;

[0012] If it is determined that the target file attribute is the second preset file attribute, store the file to be processed and its corresponding first identification result.

[0013] In an embodiment of the present application, the method further includes:

[0014] Obtain a correction instruction from the intelligent identification platform; wherein, the correction instruction includes a second identification result;

[0015] If it is determined that the target file attribute is the first preset file attribute, send a second verification request to the tax management system, and based on the second verification result fed back by the tax management system, replace the stored first identification result with the second identification result, and replace the stored first verification result with the second verification result; wherein, the second verification request includes the second identification result, and the second verification result is obtained after verifying the second identification result according to the target preset verification rules;

[0016] If it is determined that the target file attribute is the second preset file attribute, replace the stored first identification result with the second identification result.

[0017] In an embodiment of the present application, the file to be processed is stored in the file management system, and the method further includes:

[0018] If it is determined that the target file attribute is the first preset file attribute, send the first identification result and the first verification result to the file management system so that the file management system stores the first identification result and the first verification result;

[0019] If it is determined that the target file attribute is the second preset file attribute, send the first recognition result to the file management system so that the file management system stores the first recognition result.

[0020] The second aspect of this application provides a file processing method, which is applied to an intelligent recognition platform. The intelligent recognition platform is connected to an imaging system, and the imaging system is also connected to a file management system and a tax management system. The method includes:

[0021] Obtain a recognition request from the intelligent recognition platform; wherein, the recognition request includes the file to be processed and its file type.

[0022] According to the target preset recognition rule corresponding to the file type, use the target preset recognition model to recognize the file to be processed, and obtain a first recognition result; wherein, the intelligent recognition platform stores multiple preset recognition rules, and the target preset recognition rule is one of the multiple preset recognition rules.

[0023] Send the first recognition result to the imaging system so that the imaging system stores the file to be processed and its corresponding first recognition result, and when it is determined that the target file attribute corresponding to the file to be processed is the first preset file attribute, send a first verification request to the tax management system based on the first recognition result, and store the first verification result feedback by the tax management system; wherein, the first verification request includes the first recognition result, and the first verification result is obtained by verifying the first recognition result according to the target preset verification rule.

[0024] In the embodiment of this application, according to the target preset recognition rule corresponding to the file type, using the target preset recognition model to recognize the file to be processed and obtain a first recognition result includes:

[0025] Determine the file format of the file to be processed.

[0026] If it is determined that the file format is a picture format, then determine the file to be processed as the first target file; if it is determined that the file format is a non-picture format, then convert the file to be processed into a picture format to obtain the first target file.

[0027] Perform image enhancement processing on the first target file to obtain a second target file.

[0028] According to the target preset recognition rule, use the target preset recognition model to recognize the second target file to obtain the first recognition result; wherein, the first recognition result is the structured information of the second target file.

[0029] In an embodiment of the present application, the intelligent recognition platform includes a display interface, and the display interface includes an editable area and an operable button. The method further includes:

[0030] Display the first recognition result in the editable area, and display the file to be processed in other areas of the display interface except the editable area;

[0031] When it is determined that the user triggers the operable button, generate a second recognition result, and send a correction instruction to the imaging system, so that the imaging system replaces the stored first recognition result with the second recognition result, and when it is determined that the target file attribute corresponding to the file to be processed is the first preset file attribute, based on the second recognition result, send a second verification request to the tax management system, and replace the stored first verification result with the second verification result feedback by the tax management system; wherein, the second verification request includes the second recognition result, and the second verification result is obtained by verifying the second recognition result according to the target preset verification rule.

[0032] A third aspect of the present application provides a file processing device, configured in an imaging system, the imaging system is connected to a file management system, a tax management system and an intelligent recognition platform. The device includes:

[0033] A file acquisition module, configured to acquire a file to be processed from the file management system;

[0034] A first result acquisition module, configured to send a recognition request to the intelligent recognition platform to obtain a first recognition result feedback by the intelligent recognition platform; wherein, the recognition request includes the file to be processed and its file type, and the first recognition result is obtained by the target preset recognition model according to the target preset recognition rule for recognizing the file to be processed;

[0035] A file attribute determination module, configured to determine the target file attribute corresponding to the file to be processed according to the file type of the file to be processed; wherein, the target file attribute is the first preset file attribute or the second preset file attribute;

[0036] The first result storage module is configured to, if it is determined that the target file attribute is the first preset file attribute, send a first verification request to the tax management system, obtain the first verification result feedback by the tax management system, and store the file to be processed, its corresponding first recognition result, and the first verification result; if it is determined that the target file attribute is the second preset file attribute, store the file to be processed and its corresponding first recognition result; wherein, the first verification request includes the first recognition result, and the first verification result is obtained by verifying the first recognition result according to the target preset verification rule.

[0037] A fourth aspect of the present application provides a file processing device configured in an intelligent recognition platform. The intelligent recognition platform is connected to an imaging system, and the imaging system is further connected to a file management system and a tax management system. The device includes:

[0038] The recognition request acquisition module is configured to acquire a recognition request from the intelligent recognition platform; wherein, the recognition request includes the file to be processed and its file type.

[0039] The recognition module is configured to recognize the file to be processed through a target preset recognition model according to the target preset recognition rule corresponding to the file type, and obtain a first recognition result; wherein, the intelligent recognition platform stores a plurality of preset recognition rules, and the target preset recognition rule is one of the plurality of preset recognition rules.

[0040] The first result feedback module is configured to send the first recognition result to the imaging system, so that the imaging system stores the file to be processed and its corresponding first recognition result, and in the case where it is determined that the target file attribute corresponding to the file to be processed is the first preset file attribute, send a first verification request to the tax management system based on the first recognition result, and store the first verification result feedback by the tax management system; wherein, the first verification request includes the first recognition result, and the first verification result is obtained by verifying the first recognition result according to the target preset verification rule.

[0041] A fifth aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the file processing method described in the first aspect or the second aspect above is implemented.

[0042] A sixth aspect of the present application provides a machine-readable storage medium. Instructions are stored on the machine-readable storage medium, and when the instructions are executed by a processor, the processor is configured to execute the file processing method described in the first aspect or the second aspect above.

[0043] The document processing method, apparatus, device, and medium provided by this application, in the process of image file filling and review, the image system transmits the image file from the document management system to the intelligent recognition platform, that is, sends a recognition request to the intelligent recognition platform to invoke the intelligent recognition service of the intelligent recognition platform, so that it can recognize the obtained image file to form corresponding structured information, that is, generate a first recognition result, and then send it back to the image system. The image system classifies and stores the recognized structured information. At the same time, the image system determines whether it is necessary to review the image file according to the file attributes of the image file. The image system transmits the image file that needs to be reviewed to the tax management system to verify the authenticity of the image file, and stores the review result (that is, the first verification result) returned by the tax management system accordingly, realizing the filling and review of the image file, greatly reducing the workload of relevant personnel, significantly improving work efficiency, that is, reducing the time and cost required for filling and review work.

[0044] Other features and advantages of the embodiments of this application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings are used to provide a further understanding of the embodiments of this application, and constitute a part of the specification. Together with the following specific implementation, they are used to explain the embodiments of this application, but do not constitute a limitation to the embodiments of this application. In the drawings:

[0046] Figure 1 Schematically shows a first flow diagram of the document processing method according to the embodiment of this application;

[0047] Figure 2 Schematically shows a schematic diagram of the types of image files that can be stored in the document management system according to the embodiment of this application;

[0048] Figure 3 Schematically shows an application diagram of the document processing method according to the embodiment of this application;

[0049] Figure 4 Schematically shows a second flow diagram of the document processing method according to the embodiment of this application;

[0050] Figure 5 Schematically shows a first structural block diagram of the document processing apparatus according to the embodiment of this application;

[0051] Figure 6 Schematically shows a second structural block diagram of the document processing apparatus according to the embodiment of this application;

[0052] Figure 7 Schematically shows the internal structure diagram of the computer device according to the embodiment of this application.

[0053] Description of Reference Numerals

[0054] A01-processor; A02-network interface; A03-internal memory; A04-display screen; A05-input device; A06-non-volatile storage medium; B01-operating system; B02-computer program. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the specific implementation methods described herein are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0056] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), such directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0057] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0058] In view of the problems of heavy workload and low work efficiency in manually completing the filling and verification of image files in the related art, the present application provides a file processing method, device, equipment and medium. The file processing method, device, equipment and medium provided by the present application are described in detail below in conjunction with the accompanying drawings through specific embodiments and implementation methods.

[0059] Figure 1 The flowchart of the file processing method of the embodiment of the present application is schematically shown. Figure 1As shown, in one embodiment of the present application, a file processing method is provided, which is applied to an imaging system, wherein the imaging system is connected to a file management system, a tax management system and an intelligent identification platform, and the file processing method may include the following steps.

[0060] Step A100, obtaining the file to be processed from the file management system.

[0061] Among them, the file management system has a data storage module, which is used to store original image files that need to be reported and / or reviewed. The files to be processed are the original image files that need to be reported and / or reviewed stored in the file management system.

[0062] Specifically, the data storage module of the file management system can store eight types of forms with unified format templates, including acceptance form (service), acceptance form (physical), warehouse acceptance form, warehouse receipt form, income provisional details list, expense details list, refund confirmation form, and explanation of inability to obtain special VAT invoice. It can store nine types of attachment forms, including vehicle insurance policy, meeting application form, entertainment list, business entertainment pre-approval form, travel application form, repair list, maintenance list, notification explanation, and meeting sign-in form. It can store 15 types of bills, including special VAT invoice, ordinary VAT invoice, electronic special VAT invoice, electronic ordinary VAT invoice, ordinary VAT invoice (roll invoice), digital invoice (special invoice), digital invoice (ordinary invoice), motor vehicle sales unified invoice, second-hand car sales unified invoice, blockchain invoice, tax payment certificate, fixed-amount invoice, train ticket, plane ticket (electronic itinerary), and taxi ticket.

[0063] In a specific example, the file management system includes an accounting system and an ERP (Enterprise Resource Planning) system. The types of original image files that can be collected by the file management system are as follows: Figure 2 shown.

[0064] Step A200: sending a recognition request to the intelligent recognition platform to obtain a first recognition result fed back by the intelligent recognition platform.

[0065] Among them, the identification request includes the file to be processed and its file type, and the first identification result is obtained after the target preset identification model identifies the file to be processed according to the target preset identification rules, and the first identification result includes the content that needs to be filled in for the file to be processed.

[0066] In the embodiment of the present application, the intelligent recognition platform stores a plurality of preset recognition rules, and the target preset recognition rule is one of the plurality of preset recognition rules.

[0067] It should be understood that in the embodiments of the present application, when the file management system sends the file to be processed to the imaging system, it also sends the file type of the file to be processed at the same time. The imaging system triggers the sending of the recognition request to the intelligent recognition platform after determining that the file to be processed and its file type have been obtained. After receiving the recognition request, the intelligent recognition platform determines the recognition rule used for recognizing the file to be processed according to the file type of the file to be processed, that is, the target preset recognition rule.

[0068] Step A300: Determine the target file attribute corresponding to the file to be processed according to the file type of the file to be processed.

[0069] Among them, the target file attribute is the first preset file attribute or the second preset file attribute. The first preset file attribute indicates that the file to be processed is a file that needs to be filled out and audited, and the second preset file attribute indicates that the file to be processed is a file that needs to be filled out but does not need to be audited.

[0070] In the embodiments of the present application, each file type has its corresponding file attribute, which is the first preset file attribute or the second preset file attribute. In specific applications, the file attribute corresponding to each file type can be set according to the actual situation.

[0071] Step A400: If it is determined that the target file attribute is the first preset file attribute, send a first verification request to the tax management system, obtain the first verification result feedback by the tax management system, and store the file to be processed and its corresponding first recognition result and first verification result; if it is determined that the target file attribute is the second preset file attribute, store the file to be processed and its corresponding first recognition result.

[0072] Among them, the first verification request includes the first recognition result. The first verification result is obtained by verifying the first recognition result according to the target preset verification rule. The first recognition result is the filling result corresponding to the file to be processed, and the first verification result is the audit result corresponding to the file to be processed.

[0073] In the embodiments of the present application, the tax management system reads the field information in the file to establish an audit rule library, that is, generates a plurality of preset verification rules. The tax management system stores a plurality of preset verification rules, and the target preset verification rule is one of the plurality of preset verification rules.

[0074] For example, the tax management system determines the key points for reviewing three parts of the details of the document business, the attached image, and the voucher preview from seven aspects: document specification, voucher specification, attachment specification, correct amount, compliance of bills, compliance of payments, and compliance of receipts, so as to provide support for document review.

[0075] In the embodiment of the present application, when the first recognition result is stored in the imaging system, it indicates that the filling of the to-be-processed document has been completed, and the first recognition result can be viewed in the imaging system subsequently. When the first verification result is stored in the imaging system, it indicates that the review of the to-be-processed document has been completed, and the first verification result can also be viewed in the imaging system subsequently. In addition, when the first verification result is stored, the imaging system can also update the review status of the to-be-processed document, that is, modify the review status of the to-be-processed document from the un-reviewed status to the reviewed status.

[0076] It should be understood that in the embodiment of the present application, when the first recognition result / and the first verification result are stored, the imaging system can send relevant prompt information (such as filling completion / and review completion) to the file management system to notify the user. In addition, through the communication interface between the file management system and the imaging system, the user can retrieve and view the to-be-processed document and its corresponding filling result and / or verification result.

[0077] Optionally, in the embodiment of the present application, the method may further include the following steps.

[0078] Step A510, obtain a correction instruction from the intelligent recognition platform.

[0079] Wherein, the correction instruction includes a second recognition result, and the second recognition result is obtained after the user modifies the first recognition result.

[0080] Specifically, modifying the first recognition result indicates that there is an inconsistency between the first recognition result and the content to be filled in the to-be-processed document. At this time, by modifying the first recognition result, the consistency between the two is ensured.

[0081] Step A520, if it is determined that the target file attribute is the first preset file attribute, send a second verification request to the tax management system, and based on the second verification result feedback by the tax management system, replace the stored first recognition result with the second recognition result, and replace the stored first verification result with the second verification result; if it is determined that the target file attribute is the second preset file attribute, replace the stored first recognition result with the second recognition result.

[0082] Among them, the second verification request includes the second recognition result, and the second verification result is obtained by verifying the second recognition result according to the target preset verification rule. It should be understood that when the second recognition result from the intelligent recognition platform is obtained, the filling result corresponding to the file to be processed is the second recognition result, and the review result corresponding to the file to be processed is the second verification result.

[0083] In the embodiment of the present application, by updating the corresponding filling content of the file to be processed in the intelligent recognition platform, the accuracy of filling and reviewing the file to be processed is ensured.

[0084] Optionally, in the embodiment of the present application, the method may further include the following steps.

[0085] Step A610: If the first recognition result is obtained and it is determined that the target file attribute is the first preset file attribute, send the first recognition result and the first verification result to the file management system so that the file management system stores the first recognition result and the first verification result; if the first recognition result is obtained and it is determined that the target file attribute is the second preset file attribute, send the first recognition result to the file management system so that the file management system stores the first recognition result.

[0086] Step A620: If the second recognition result is obtained and it is determined that the target file attribute is the first preset file attribute, send the first recognition result and the first verification result to the file management system so that the file management system replaces the stored first recognition result with the second recognition result and replaces the stored first verification result with the second verification result; if the second recognition result is obtained and it is determined that the target file attribute is the second preset file attribute, send the first recognition result to the file management system so that the file management system replaces the stored first recognition result with the second recognition result.

[0087] It can be understood that when storing the first verification result, the file management system can also update the review status of the file to be processed, that is, modify the review status of the file to be processed from the un-reviewed status to the reviewed status.

[0088] In the embodiment of the present application, by storing the file to be processed and its corresponding first recognition result / and first verification result in the file management system, it is convenient for users to directly view the file to be processed and its filling content / and review result in the file management system.

[0089] Optionally, in the embodiment of the present application, the method may further include the following steps.

[0090] Step A710: Obtain a modification instruction from the file management system.

[0091] Wherein, the modification instruction includes the identification information of the file to be processed and the modification result.

[0092] In the embodiment of the present application, the file to be processed and its corresponding filling result can be displayed side by side on the display interface of the file management system, and the user can modify its filling result on the display interface of the file management system, and finally generate the modification result of the file to be processed. The method of generating the modification result can adopt the method of generating the second recognition result described below, which will not be elaborated here. After generating the modification result, the file management system replaces the stored first recognition result / the second recognition result with the modification result.

[0093] It should be understood that in the embodiment of the present application, both the file management system and the imaging system store the file to be processed and its corresponding filling result / and verification result based on the identification information of the file to be processed. In a specific example, the identification information of the file to be processed is the file name of the file to be processed.

[0094] Step A720: If it is determined that the target file attribute is the first preset file attribute, send a third verification request to the tax management system, obtain the third verification result feedback by the tax management system, replace the stored first recognition result or the second recognition result with the modification result, and replace the stored first verification result or the second verification result with the third verification result; if it is determined that the target file attribute is the second preset file attribute, replace the stored first recognition result or the second recognition result with the modification result.

[0095] Wherein, the third verification request includes the modification result, and the third verification result is obtained by verifying the modification result according to the target preset verification rule.

[0096] The embodiment of the present application ensures the accuracy of filling and verification of the file to be processed by updating the corresponding filling content of the file to be processed in the file management system.

[0097] Optionally, in the embodiment of the present application, the method may further include the following steps.

[0098] Step A800: Display the file to be processed and the first recognition result side by side on the display interface of the imaging system, or display the file to be processed and the second recognition result side by side on the display interface of the imaging system.

[0099] In the embodiment of the present application, by performing graphic comparison and display on the to-be-processed document and the first recognition result / the second recognition result, it is convenient for the user to verify whether the recognition result of the to-be-processed document is accurate. Of course, it can be understood that the imaging system can also display the first verification result or the second verification result on the display interface of the imaging system, so that the user can know the review result of the to-be-processed document.

[0100] The following uses a specific application example to illustrate the document processing method provided by the embodiment of the present application.

[0101] As Figure 3 shown, after the user logs in to the reimbursement system (i.e., the document management system), opens the invoice folder, and uploads the invoices that need to be filled out and reviewed to the imaging platform (i.e., the imaging system). After receiving the invoice and determining its bill type, the imaging platform sends an OCR recognition request to the OCR intelligent recognition platform (i.e., the intelligent recognition platform). The OCR intelligent recognition platform performs intelligent recognition on the invoice through the OCR model and returns the recognition result (i.e., the first recognition result, which is the structured information of the invoice) to the imaging platform. Both the imaging platform and the OCR intelligent recognition platform display the invoice and its recognition result side by side, so that the user can view whether the recognition result is accurate. After receiving the recognition result, the imaging platform retrieves the tax verification channel and sends an invoice verification request (i.e., the first verification request) to the tax control platform (i.e., the tax management system). The tax control platform verifies based on the verification rules corresponding to the invoice type and returns its verification result (i.e., the first verification result, corresponding to Figure 3 the verification result of the verified invoice information in the upper side) to the imaging platform. Both the imaging platform and the reimbursement system save the invoice, its filling result, and the verification result. In addition, the reimbursement system also updates the status of the invoice, that is, modifies the review status of the invoice from the un-reviewed status to the reviewed status.

[0102] When the user finds that the recognition result is inconsistent with the uploaded invoice on the OCR intelligent recognition platform, the user optimizes and corrects the recognition result in the editable area of the OCR intelligent recognition platform to generate a new recognition result (i.e., the second recognition result), and sends a correction instruction (corresponding to Figure 3 the request for saving modified information in Figure 3 ). After receiving the correction instruction, the imaging platform sends a second verification request (corresponding to Figure 3 the verification request for the modified invoice in

[0103] By establishing data channels among the reimbursement system, the imaging platform, the OCR intelligent recognition platform, and the tax control platform, the information in the imaging file is parsed and converted and recognized through OCR technology, the information in the imaging file is automatically collected, the collected information is finely classified to form the structured information of the invoice, and then stored. Based on the structured information of the invoice, the audit is carried out, thereby reducing the consumption of human resources for invoice filling and auditing.

[0104] It can be seen that in the imaging file filling and auditing link of the file processing method provided in the embodiment of the present application, the imaging system transmits the obtained imaging files of bills, contracts, unified format template forms, or other attachment types to the intelligent recognition platform, that is, sends a recognition request to the intelligent recognition platform to invoke the intelligent recognition service of the intelligent recognition platform, so that it recognizes the obtained imaging file to form the corresponding structured information, that is, generates the first recognition result, and sends it back to the imaging system. The imaging system classifies and stores the recognized structured information. At the same time, the imaging system determines whether it is necessary to audit the imaging file according to the file attributes of the imaging file. The imaging system transmits the imaging files that need to be audited to the tax management system to realize the authenticity verification of the imaging files, and stores the audit results (i.e., the first verification results) sent back by the tax management system accordingly, realizing the filling and auditing of the imaging files, greatly reducing the workload of relevant personnel, significantly improving the work efficiency, that is, reducing the time and cost required for filling and auditing work. In addition, when this method is applied to the financial field, this method can effectively prevent and control financial risks by improving the automation and intelligence level of financial work.

[0105] Figure 1 It is a schematic flowchart of the file processing method in an embodiment. It should be understood that although Figure 1 the steps in the flowchart are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, Figure 1 at least a part of the steps in

[0106] Figure 4 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

[0106] Figure 4 Schematically shows a schematic flowchart of the file processing method of the embodiment of the present application. As Figure 4As shown in the figure, in an embodiment of the present application, a file processing method is provided, which is applied to an intelligent recognition platform. The intelligent recognition platform is connected to an imaging system, and the imaging system is also connected to a file management system and a tax management system. The file processing method may include the following steps.

[0107] Step B100, obtain an identification request from the intelligent recognition platform.

[0108] Wherein, the identification request includes the file to be processed and its file type.

[0109] Step B200, according to the target preset recognition rule corresponding to the file type, identify the file to be processed through the target preset recognition model to obtain a first recognition result.

[0110] Wherein, the intelligent recognition platform stores multiple preset recognition rules, and the target preset recognition rule is one of the multiple preset recognition rules.

[0111] In the embodiment of the present application, each file type has its corresponding preset recognition rule. In specific applications, the preset recognition rule corresponding to each file type can be set according to the actual situation.

[0112] In the embodiment of the present application, a possible specific implementation manner of step B200 is as follows.

[0113] Step B210, determine the file format of the file to be processed.

[0114] Wherein, the file to be processed stored in the file management system can be a file in formats such as PDF, JDP, JPG, etc. In this specific implementation manner, the file format of the file to be processed can be determined according to the suffix name of the file to be processed.

[0115] Step B220, if it is determined that the file format is a picture format, then determine the file to be processed as the first target file; if it is determined that the file format is a non-picture format, then perform a picture format conversion on the file to be processed to obtain the first target file.

[0116] Step B230, perform image enhancement processing on the first target file to obtain a second target file.

[0117] Wherein, the way of performing image enhancement processing on the first target file includes adjusting the contrast, brightness, saturation, etc. of the image. This specific implementation manner improves the image quality by performing image enhancement processing on the first target file, thereby providing a clear input for the target preset recognition model and improving the recognition accuracy of the target preset recognition model.

[0118] Step B240: Identify the second target file through the target preset recognition model according to the target preset recognition rule to obtain the first recognition result.

[0119] Among them, the first recognition result is the structured information of the second target file.

[0120] Specifically, the target preset recognition model adopts an OCR model to extract the required text and key information according to the target preset recognition rule to obtain the first recognition result.

[0121] In a specific example, the initially constructed preset recognition model is trained with a large number of attachment samples, that is, the model is trained with diversified and complex attachment samples, which can improve the recognition ability of the trained target preset recognition model for various fonts and character texts. In this example, the target preset recognition model adopts advanced character segmentation and positioning algorithms, which can accurately identify the position and shape of each character, and at the same time combines an efficient character recognition algorithm to significantly improve the accuracy of character recognition.

[0122] In another specific example, before using the target preset recognition model for recognition, the form style is also standardized, the data extraction range is optimized, and configuration table information (including entity names, professional terms, conjunctions, sensitive words, etc.) is established to assist the target preset recognition model in recognition, thereby improving the recognition accuracy of the target preset recognition model. Among them, standardizing the form style means standardizing the design and format of the form so that the target preset recognition model can identify and process more accurately. Optimizing the data extraction range means optimizing the range and format of data input in the form design so that the target preset recognition model can identify and process more accurately.

[0123] Step B300: Send the first recognition result to the imaging system so that the imaging system stores the file to be processed and its corresponding first recognition result, and when it is determined that the target file attribute corresponding to the file to be processed is the first preset file attribute, send a first verification request to the tax management system based on the first recognition result and store the first verification result feedback by the tax management system.

[0124] Among them, the first verification request includes the first recognition result, and the first verification result is obtained by verifying the first recognition result according to the target preset verification rule.

[0125] In the embodiment of the present application, the first recognition result is stored in a structured form.

[0126] Optionally, in the embodiments of the present application, the intelligent recognition platform includes a display interface, the display interface includes an editable area and an operable button, and the method may further include the following steps.

[0127] Step B400: Display the first recognition result in the editable area and display the file to be processed in other areas of the display interface except the editable area.

[0128] Specifically, by displaying the file to be processed and its corresponding first recognition result, a graphic comparison interface is formed, which is convenient for the user to verify whether the first recognition result of the file to be processed is accurate; by displaying the first recognition result in the editable area, it is convenient for the user to correct the first recognition result when it is determined that the first recognition result of the file to be processed is incorrect, thereby ensuring the accuracy of filling in the file to be processed.

[0129] Step B500: When it is determined that the user triggers the operable button, generate a second recognition result, and send a correction instruction to the imaging system, so that the imaging system replaces the stored first recognition result with the second recognition result, and when it is determined that the target file attribute corresponding to the file to be processed is the first preset file attribute, based on the second recognition result, send a second verification request to the tax management system, and replace the stored first verification result with the second verification result feedback by the tax management system.

[0130] Wherein, the correction instruction includes the second recognition result, the second verification request includes the second recognition result, and the second verification result is obtained by verifying the second recognition result according to the target preset verification rule.

[0131] Specifically, in the display interface, if the user finds that there is an inconsistency between the first recognition result and the corresponding content in the file to be processed, the user can modify the first recognition result in the editable area. After the modification is completed, by triggering the operable button, the content currently included in the editable area immediately generates the second recognition result.

[0132] It can be seen that in the image file filling and auditing process of the file processing method provided by the embodiments of the present application, when the intelligent recognition platform receives a recognition request from the image system, it invokes its own intelligent recognition service to recognize the obtained image file, forming corresponding structured information, that is, generating a first recognition result, and transmitting it back to the image system, enabling the image system to classify and store the recognized structured information, and in the case of determining that the image file needs to be audited, transmitting the image file to be audited to the tax management system to verify the authenticity of the image file, and storing the audit result (i.e., the first verification result) transmitted back by the tax management system accordingly, realizing the filling and auditing of the image file, greatly reducing the workload of relevant personnel, significantly improving work efficiency, that is, reducing the time and cost required for filling and auditing work.

[0133] Figure 5 Schematically shows the structural block diagram of the file processing device according to the embodiments of the present application. As Figure 5 shown, in an embodiment of the present application, a file processing device is provided, configured in the image system, and the image system is connected to a file management system, a tax management system, and an intelligent recognition platform. The file processing device may include the following functional modules.

[0134] A file acquisition module, configured to acquire a file to be processed from the file management system.

[0135] A first result acquisition module, configured to send a recognition request to the intelligent recognition platform and obtain a first recognition result fed back by the intelligent recognition platform. Wherein, the recognition request includes the file to be processed and its file type, and the first recognition result is obtained by the target preset recognition model according to the target preset recognition rules for recognizing the file to be processed.

[0136] A file attribute determination module, configured to determine a target file attribute corresponding to the file to be processed according to the file type of the file to be processed. Wherein, the target file attribute is a first preset file attribute or a second preset file attribute.

[0137] A first result storage module, configured to, if it is determined that the target file attribute is the first preset file attribute, send a first verification request to the tax management system, obtain a first verification result fed back by the tax management system, and store the file to be processed and its corresponding first recognition result and first verification result; if it is determined that the target file attribute is the second preset file attribute, store the file to be processed and its corresponding first recognition result. Wherein, the first verification request includes the first recognition result, and the first verification result is obtained by verifying the first recognition result according to the target preset verification rules.

[0138] In the embodiment of the present application, the document processing device may further include the following functional modules.

[0139] An instruction acquisition module, configured to acquire a correction instruction from the intelligent recognition platform. Wherein, the correction instruction includes a second recognition result.

[0140] A second result storage module, configured to, if it is determined that the target file attribute is the first preset file attribute, send a second verification request to the tax management system, and based on the second verification result fed back by the tax management system, replace the stored first recognition result with the second recognition result, and replace the stored first verification result with the second verification result; if it is determined that the target file attribute is the second preset file attribute, replace the stored first recognition result with the second recognition result. Wherein, the second verification request includes the second recognition result, and the second verification result is obtained by verifying the second recognition result according to the target preset verification rule.

[0141] In the embodiment of the present application, the to-be-processed file is stored in the document management system, and the document processing device may further include the following functional modules.

[0142] A first result feedback module, configured to, if it is determined that the target file attribute is the first preset file attribute, send the first recognition result and the first verification result to the document management system, so that the document management system stores the first recognition result and the first verification result; if it is determined that the target file attribute is the second preset file attribute, send the first recognition result to the document management system, so that the document management system stores the first recognition result.

[0143] Since the document processing device provided in the embodiment of the present application is a virtual device corresponding to the document processing method in the above embodiment, it can also solve the problems of large workload and low work efficiency in manually completing the filling and verification of image files in the prior art.

[0144] Figure 6 Schematically shows a structural block diagram of the document processing device according to the embodiment of the present application. As Figure 6 shown, in an embodiment of the present application, a document processing device is provided, configured in an intelligent recognition platform, the intelligent recognition platform is connected to an image system, the image system is further connected to a document management system and a tax management system, and the document processing device may include the following functional modules.

[0145] A recognition request acquisition module, configured to acquire a recognition request from the intelligent recognition platform. Wherein, the recognition request includes the to-be-processed file and its file type.

[0146] An identification module, configured to identify the file to be processed through a target preset identification model according to the target preset identification rule corresponding to the file type, so as to obtain a first identification result. Among them, the intelligent identification platform stores multiple preset identification rules, and the target preset identification rule is one of the multiple preset identification rules.

[0147] A first result feedback module, configured to send the first identification result to the imaging system, so that the imaging system stores the file to be processed and its corresponding first identification result, and when it is determined that the target file attribute corresponding to the file to be processed is the first preset file attribute, send a first verification request to the tax management system based on the first identification result, and store the first verification result feedback by the tax management system. Among them, the first verification request includes the first identification result, and the first verification result is obtained by verifying the first identification result according to the target preset verification rule.

[0148] In the embodiment of the present application, the identification module may include the following functional modules.

[0149] A file format determination module, configured to determine the file format of the file to be processed.

[0150] A target file determination module, configured to, if it is determined that the file format is a picture format, determine the file to be processed as a first target file; if it is determined that the file format is a non-picture format, perform a picture format conversion on the file to be processed to obtain a first target file.

[0151] A target file processing module, configured to perform image enhancement processing on the first target file to obtain a second target file.

[0152] A target file identification module, configured to identify the second target file through the target preset identification model according to the target preset identification rule, so as to obtain the first identification result. Among them, the first identification result is the structured information of the second target file.

[0153] In the embodiment of the present application, the intelligent identification platform includes a display interface, the display interface includes an editable area and an operable button, and the file processing device may further include the following functional modules.

[0154] A display module, configured to display the first identification result in the editable area, and display the file to be processed in other areas of the display interface except the editable area.

[0155] The second result feedback module is used to generate a second recognition result when it is determined that the user triggers the actionable button, and send a correction instruction to the imaging system, so that the imaging system replaces the stored first recognition result with the second recognition result, and when it is determined that the target file attribute corresponding to the file to be processed is the first preset file attribute, based on the second recognition result, send a second verification request to the tax management system, and replace the stored first verification result with the second verification result feedback by the tax management system. Wherein, the second verification request includes the second recognition result, and the second verification result is obtained by verifying the second recognition result according to the target preset verification rule.

[0156] Since the file processing device provided in the embodiment of the present application is a virtual device corresponding to the file processing method in the above embodiment, it can also solve the problems of large workload and low work efficiency in the existing technology for manually filling and verifying image files.

[0157] The embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the file processing method described in the above embodiment.

[0158] Since the electronic device provided in the embodiment of the present application includes a processor capable of running the file processing method in the foregoing embodiment, it can also solve the problems of large workload and low work efficiency in the existing technology for manually filling and verifying image files.

[0159] The embodiment of the present application provides a machine-readable storage medium, on which instructions are stored. When the instructions are executed by a processor, the processor is configured to execute the file processing method described in the above embodiment.

[0160] Since the machine-readable storage medium provided in the embodiment of the present application stores instructions for causing a machine to execute the file processing method in the above embodiment, it can also solve the problems of large workload and low work efficiency in the existing technology for manually filling and verifying image files.

[0161] Figure 7 Schematically shows the internal structure diagram of the computer device in the embodiment of the present application. As Figure 7As shown in the figure, in an embodiment of the present application, a computer device is provided, and the computer device may be a terminal. The computer device includes a processor A01, a network interface A02, a display screen A04, an input device A05, and a memory (not shown in the figure) connected through a system bus. Among them, the processor A01 of the computer device is used to provide computing and control capabilities. The memory of the computer device includes an internal memory A03 and a non-volatile storage medium A06. The non-volatile storage medium A06 stores an operating system B01 and a computer program B02. The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 in the non-volatile storage medium A06. The network interface A02 of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor A01, a file processing method is implemented. The display screen A04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device A05 of the computer device may be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0162] Those skilled in the art can understand that Figure 7 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0163] In one embodiment, the file processing device provided by the present application may be implemented in the form of a computer program, and the computer program can run on a computer device such as Figure 7 shown in the figure. Each program module constituting the file processing device may be stored in the memory of the computer device, and the computer program constituted by each program module enables the processor to execute the steps in the file processing methods of the various embodiments of the present application described in this specification.

[0164] For example, Figure 7 the computer device shown in the figure may execute the step A100 through the file acquisition module in the file processing device shown in Figure 5 the figure, the first result acquisition module executes the step A200, the file attribute determination module executes the step A300, and the first result storage module executes the step A400.

[0165] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0166] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0167] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0168] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0169] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0170] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0171] A computer-readable medium includes both permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information accessible by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0172] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but also other elements not expressly listed, or elements that are inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0173] The above are only embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A file processing method, characterized in that, Applied to an imaging system, the imaging system is connected to a file management system, a tax management system, and an intelligent recognition platform. The method includes: Obtain a file to be processed from the file management system; Send an identification request to the intelligent recognition platform to obtain a first recognition result feedback by the intelligent recognition platform. Wherein, the identification request includes the file to be processed and its file type, and the first recognition result is obtained after the target preset recognition model recognizes the file to be processed according to the target preset recognition rules; Determine the target file attribute corresponding to the file to be processed according to the file type of the file to be processed. Wherein, the target file attribute is a first preset file attribute or a second preset file attribute; If it is determined that the target file attribute is the first preset file attribute, send a first verification request to the tax management system to obtain a first verification result feedback by the tax management system, and store the file to be processed and its corresponding first recognition result and first verification result. Wherein, the first verification request includes the first recognition result, and the first verification result is obtained after verifying the first recognition result according to the target preset verification rules; If it is determined that the target file attribute is the second preset file attribute, store the file to be processed and its corresponding first recognition result.

2. The method according to claim 1, wherein The method further includes: Obtain a correction instruction from the intelligent recognition platform. Wherein, the correction instruction includes a second recognition result; If it is determined that the target file attribute is the first preset file attribute, send a second verification request to the tax management system, and based on the second verification result feedback by the tax management system, replace the stored first recognition result with the second recognition result, and replace the stored first verification result with the second verification result. Wherein, the second verification request includes the second recognition result, and the second verification result is obtained after verifying the second recognition result according to the target preset verification rules; If it is determined that the target file attribute is the second preset file attribute, replace the stored first recognition result with the second recognition result.

3. The method according to claim 1, characterized in that, The file to be processed is stored in the file management system. The method further includes: If it is determined that the target file attribute is the first preset file attribute, send the first recognition result and the first verification result to the file management system so that the file management system stores the first recognition result and the first verification result; If it is determined that the target file attribute is the second preset file attribute, send the first recognition result to the file management system so that the file management system stores the first recognition result.

4. A file processing method, characterized in that, Applied to an intelligent recognition platform, the intelligent recognition platform is connected to an imaging system, and the imaging system is further connected to a file management system and a tax management system. The method includes: Obtain an identification request from the intelligent recognition platform. Wherein, the identification request includes a file to be processed and its file type; Identify the to-be-processed file through a target preset recognition model according to the target preset recognition rule corresponding to the file type, and obtain a first recognition result; wherein, multiple preset recognition rules are stored in the intelligent recognition platform, and the target preset recognition rule is one of the multiple preset recognition rules; Send the first recognition result to the imaging system, so that the imaging system stores the to-be-processed file and its corresponding first recognition result, and when it is determined that the target file attribute corresponding to the to-be-processed file is a first preset file attribute, send a first verification request to the tax management system based on the first recognition result, and store the first verification result fed back by the tax management system; wherein, the first verification request includes the first recognition result, and the first verification result is obtained by verifying the first recognition result according to the target preset verification rule.

5. The method according to claim 4, wherein Identifying the to-be-processed file through a target preset recognition model according to the target preset recognition rule corresponding to the file type to obtain a first recognition result, including: Determine the file format of the to-be-processed file; If it is determined that the file format is a picture format, determine the to-be-processed file as a first target file; if it is determined that the file format is a non-picture format, convert the to-be-processed file into a picture format to obtain a first target file; Perform image enhancement processing on the first target file to obtain a second target file; Identify the second target file through the target preset recognition model according to the target preset recognition rule to obtain the first recognition result; wherein, the first recognition result is the structured information of the second target file.

6. The method according to claim 4, wherein The intelligent recognition platform includes a display interface, and the display interface includes an editable area and an operable button. The method further includes: Display the first recognition result in the editable area, and display the to-be-processed file in other areas of the display interface except the editable area; When it is determined that the user triggers the operable button, generate a second recognition result, and send a correction instruction to the imaging system, so that the imaging system replaces the stored first recognition result with the second recognition result, and when it is determined that the target file attribute corresponding to the to-be-processed file is a first preset file attribute, send a second verification request to the tax management system based on the second recognition result, and replace the stored first verification result with the second verification result fed back by the tax management system; wherein, the second verification request includes the second recognition result, and the second verification result is obtained by verifying the second recognition result according to the target preset verification rule.

7. A file processing device, characterized in that, Configured in an imaging system, the imaging system is connected to a file management system, a tax management system and an intelligent recognition platform. The device includes: A file acquisition module, configured to acquire a to-be-processed file from the file management system; The first result acquisition module is used to send an identification request to the intelligent identification platform and obtain a first identification result feedback by the intelligent identification platform. Wherein, the identification request includes the file to be processed and its file type, and the first identification result is obtained after the target preset identification model identifies the file to be processed according to the target preset identification rules. The file attribute determination module is used to determine the target file attribute corresponding to the file to be processed according to the file type of the file to be processed. Wherein, the target file attribute is the first preset file attribute or the second preset file attribute. The first result storage module is used to, if it is determined that the target file attribute is the first preset file attribute, send a first verification request to the tax management system, obtain a first verification result feedback by the tax management system, and store the file to be processed and its corresponding first identification result and first verification result; if it is determined that the target file attribute is the second preset file attribute, store the file to be processed and its corresponding first identification result. Wherein, the first verification request includes the first identification result, and the first verification result is obtained after verifying the first identification result according to the target preset verification rules.

8. A file processing device, characterized in that, Configured on the intelligent identification platform, the intelligent identification platform is connected to an imaging system, and the imaging system is also connected to a file management system and a tax management system. The device includes: The identification request acquisition module is used to acquire an identification request from the intelligent identification platform. Wherein, the identification request includes the file to be processed and its file type. The identification module is used to identify the file to be processed through the target preset identification model according to the target preset identification rules corresponding to the file type, and obtain a first identification result. Wherein, the intelligent identification platform stores multiple preset identification rules, and the target preset identification rules are one of the multiple preset identification rules. The first result feedback module is used to send the first identification result to the imaging system, so that the imaging system stores the file to be processed and its corresponding first identification result, and in the case where it is determined that the target file attribute corresponding to the file to be processed is the first preset file attribute, send a first verification request to the tax management system based on the first identification result, and store the first verification result feedback by the tax management system. Wherein, the first verification request includes the first identification result, and the first verification result is obtained after verifying the first identification result according to the target preset verification rules.

9. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the file processing method according to any one of claims 1 to 3 or the file processing method according to any one of claims 4 to 6.

10. A machine-readable storage medium having instructions stored thereon, characterized in that, When the instruction is executed by the processor, the processor is configured to execute the file processing method according to any one of claims 1 to 3 or the file processing method according to any one of claims 4 to 6.

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