Image processing method based on financial system and related device

Abstract

The application provides an image processing method based on a financial system and related equipment. In the financial system, a plurality of image folders corresponding to different businesses are configured for storing image information of corresponding types of attachments under the business, so as to realize classified storage of various types of attachment image information of different businesses. In this way, when a user needs to upload image information of each attachment of a target business, an image upload interface corresponding to the target business can be output after selecting a type of image folder corresponding to a current attachment to be uploaded from an image classification interface of the target business, and the image information of the attachment to be uploaded is sent to the selected target image folder. Each image folder only stores image information of a corresponding type of attachment, ensuring accurate classification of image information, thereby reducing the probability of missing, wrong, and repeated transmission of attachment image information and improving the upload reliability of attachment image information.

Description

Technical Field

[0001] This application relates to the field of computer technology, specifically to an image processing method and related equipment based on a financial system. Background Technology

[0002] Currently, corporate financial systems typically have electronic imaging capabilities, which digitize various paper documents, archives, paper invoices, and other business attachments, allowing the resulting electronic images to replace these paper documents and achieve long-term centralized management. Summary of the Invention

[0003] To achieve the categorized uploading and storage of business attachment image information, reduce issues such as missed transmissions, incorrect transmissions, and duplicate transmissions, and improve the reliability of image uploading, this application provides the following technical solution:

[0004] On the one hand, this application proposes an image processing method based on a financial system, the method comprising:

[0005] Obtain an image upload trigger command for a target business under the financial system, output an image classification interface for the target business, and display the classification identifiers of multiple image folders configured for the target business in the image classification interface;

[0006] In response to the selection operation of any of the aforementioned category identifiers, an image upload interface for the target image folder is output; the target image folder refers to the image folder with the selected category identifier.

[0007] In response to the attachment upload operation on the image upload interface, the image information of the attachment to be uploaded of the corresponding category is sent to the target image folder for storage;

[0008] In response to the image submission operation, an image identifier for the attachment to be uploaded is obtained, and the image identifier is associated with the target image folder and then stored.

[0009] Optionally, in response to an attachment upload operation on the image upload interface, sending the image information of the corresponding category of attachment to be uploaded to the target image folder for storage includes:

[0010] In response to the attachment upload operation on the image upload interface, the image information and attachment category of the attachment to be uploaded are obtained;

[0011] Verify whether the attachment category matches the selected category identifier;

[0012] If a match is found, the image information of the attachment to be uploaded will be sent to the target image folder for storage.

[0013] If there is a mismatch, an error message indicating an attachment upload failure will be output to instruct the image uploader to replace the attachment to be uploaded.

[0014] Optionally, the method further includes:

[0015] In response to the image classification expansion operation for the target business, a corresponding image classification expansion request is sent to the server of the financial system; wherein, the image classification expansion request includes the category of the image folder to be expanded, and the image classification expansion operation is performed when there is no image folder of the category corresponding to the attachment to be uploaded in the currently output image classification interface;

[0016] Obtain the image folder extension information for the target service, update the image classification interface, and add a classification identifier for the requested extended image folder to the updated image classification interface.

[0017] Optionally, the method further includes:

[0018] In response to the selection and deletion operation of at least one of the image folders displayed on the image classification interface, a corresponding image classification deletion request is sent to the server of the financial system.

[0019] Obtain the image folder deletion information for the target business, update the image classification interface to remove the classification label of the selected image folder from the image classification interface.

[0020] Optionally, prior to the selection operation on any of the classification identifiers, the method further includes:

[0021] In response to the image upload operation, an image folder selection prompt message is output to instruct staff to select the image folder corresponding to the category of the attachment to be uploaded.

[0022] Optionally, the method further includes:

[0023] In response to an image query operation targeting a target category identifier, a first image query page is output, displaying image information stored in each image folder associated with the target category identifier.

[0024] or,

[0025] In response to an image query operation targeting a target image identifier, target image information stored in different image folders associated with the target image identifier is obtained;

[0026] Output an image query page, which displays the category identifiers of each image folder to which the target image information belongs;

[0027] In response to the selection and viewing operation of any of the category identifiers displayed on the image query page, an image display interface is output, which displays the target image information stored in the image folder corresponding to the selected category identifier, as well as the attachment details list contained in the target image information.

[0028] In another aspect, this application proposes an image processing apparatus based on a financial system, the apparatus comprising:

[0029] The image classification interface output module is used to obtain the image upload trigger instruction for the target business under the financial system, output the image classification interface of the target business, and display the classification identifiers of multiple image folders configured for the target business in the image classification interface.

[0030] The image upload interface output module is used to output an image upload interface for a target image folder in response to the selection operation of any of the aforementioned category identifiers; the target image folder refers to the image folder with the selected category identifier;

[0031] The image upload module is used to respond to the attachment upload operation of the image upload interface by sending the image information of the corresponding category of attachment to be uploaded to the target image folder for storage.

[0032] The image information storage module is used to respond to the image submission operation, obtain the image identifier for the attachment to be uploaded, associate the image identifier with the target image folder, and then store it.

[0033] In another aspect, this application proposes an electronic device comprising:

[0034] Input components; Output components;

[0035] The memory is used to store programs that implement the image processing method based on the financial system described above;

[0036] A processor is configured to load and execute the program stored in the memory to implement the image processing method based on the financial system described above.

[0037] In another aspect, this application proposes a computer-readable storage system having a computer program stored thereon, which is loaded and executed by a processor to implement the image processing method based on the financial system described above.

[0038] In another aspect, this application proposes a financial system, characterized in that the system comprises: at least one business terminal and a server, wherein:

[0039] The business terminal communicates and interacts with the server to implement the image processing method based on the financial system as described above.

[0040] The server is used to store image information in at least one image folder associated with each image identifier uploaded by the service terminal.

[0041] Therefore, this application proposes an image processing method and related equipment based on a financial system. Multiple image folders are configured for different business operations within the financial system to store image information of attachments of corresponding types under that business. This achieves categorized storage of various attachment image information for different businesses. When a user needs to upload image information of attachments for a target business, they can select the corresponding image folder from the image classification interface of that target business. The corresponding image upload interface is then displayed, and the image information of the attachment to be uploaded is sent to the selected target image folder. This ensures that each image folder only stores image information of the corresponding category of attachments, guaranteeing accurate image information classification and reducing the probability of missed, incorrect, or duplicate transmission of attachment image information, thereby improving the reliability of attachment image information uploads. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0043] Figure 1 A schematic diagram of the structure of an optional example of the financial system proposed in this application;

[0044] Figure 2 A schematic diagram of the hardware structure of an optional example of an electronic device suitable for the image processing method based on a financial system proposed in this application;

[0045] Figure 3 This is a flowchart illustrating an optional example of the image processing method based on a financial system proposed in this application.

[0046] Figure 4 This is a flowchart illustrating another optional example of the image processing method based on a financial system proposed in this application.

[0047] Figure 5 This is a schematic diagram of an optional example of the image processing apparatus based on a financial system proposed in this application.

[0048] Figure 6 This is a schematic diagram of another optional example of the image processing apparatus based on the financial system proposed in this application. Detailed Implementation

[0049] Regarding the technical issues described in the background section, in scenarios where it is necessary to upload image information of attachments for a certain business transaction to the financial system, such as various paper documents like invoices, materials, and contracts under documents for office expenses or business trip expenses, after logging into the financial system, the system can upload image information of all attachments and submit it based on the electronic image function of the financial system. This generates an image identifier (such as a unique identifier like an image barcode) for this document. All image information submitted in this instance is associated with and stored with this image identifier, so that the image information of the corresponding document can be viewed or approved later according to the image identifier.

[0050] However, due to the unclear classification of the image information in the attachments uploaded to the financial system, the uploading personnel need to check and compare the uploaded image information with the attachments to be uploaded to determine whether the upload is correct and complete. This can easily lead to problems such as omissions, errors, and duplicate transmissions, reducing the efficiency and reliability of image uploading and affecting the accuracy and efficiency of subsequent approval of the image information of the attachments to be approved.

[0051] To address the aforementioned technical issues, improve the accuracy of paper document uploading and approval, and enhance work efficiency, this application proposes adding an image classification configuration table to the electronic image function of the financial system. This table includes multiple image folders for storing image information of different categories. When a user logs into the financial system to upload image information of attachments (such as various invoices, contract texts, and financial vouchers) for a target business (such as office expenses or travel expenses), they must first select the image folder corresponding to the category of the attachment to be uploaded, and then upload the image information of that attachment. This ensures that each image folder stores only the image information of one or more attachments of the corresponding category, achieving categorized storage of uploaded image information.

[0052] In this way, during the image upload process, the uploader can systematically upload the corresponding attachment image information according to multiple image folders pre-configured for the target business. This achieves accurate classification and storage of each image information corresponding to each image identifier, effectively avoiding problems such as missed, incorrect, and duplicate image transmission. Subsequently, it can also achieve targeted approval of various types of image information, improving the accuracy and efficiency of document upload and approval.

[0053] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0054] Reference Figure 1The diagram below illustrates an optional example of the financial system proposed in this application. This financial system can be an integrated management system, capable of being coupled and integrated with multiple systems (such as information systems, invoice systems, tax systems, etc., depending on the situation) to achieve seamless processes for various loans, reimbursements, material and service procurement payments, and payment applications. It also supports unified storage of original document images, full-process image viewing, and invoice information recognition. This allows enterprise managers and financial personnel to log in to the system to comprehensively understand financial indicators and tax-related reports, enabling them to formulate or adjust relevant enterprise decisions based on the latest and most accurate reference data. Based on this, if... Figure 1 As shown, the financial system may include at least one business terminal 110 and a server 120, wherein:

[0055] The business terminal 110 can be an electronic device such as a smartphone, tablet, wearable device, scanning device, or desktop computer. The product type of the business terminal 110 can be determined according to the business scenario. In this embodiment, the business terminal 110 can install a dedicated client for logging into the financial system, or it can log into the financial system by entering the website address of the financial system through a browser. This application does not restrict the implementation method of how users log into the financial system using the business terminal, and it can be determined as appropriate.

[0056] Server 120 can be a service device that provides services corresponding to various businesses supported by the financial system (such as image upload and storage services, different types of approval services, different types of application services, different types of reimbursement services, etc.), so as to support users to log in to the financial system using business terminal 110 and use the various businesses supported by the financial system normally. Server 120 can provide calling interfaces / access interfaces / application interfaces for various businesses, so that terminal device 110 can interact with server 120 through these interfaces. This application does not limit the implementation logic of the various functions of server 120 supporting the normal operation of the integrated financial system, and can be flexibly adjusted according to actual needs.

[0057] Based on this, in the practical application of this application, the user can use the business terminal 110 to communicate and interact with the server 120 to implement the image processing method based on the financial system proposed in this application. The implementation process can be referred to the description of the corresponding part of the following embodiment, which will not be described in detail here.

[0058] Optionally, the aforementioned server 120 can be a standalone physical server, a server cluster integrating multiple physical servers, or a cloud server supporting cloud computing services. To store user-uploaded image information (as described above in the technical solution of this application, image information in at least one image folder associated with each image identifier uploaded by the business terminal 110), and log data generated by different users logging into the financial system and performing various operations, the server 120 may include a database server. To facilitate maintenance personnel in managing the financial system, it may also include maintenance management equipment. This application does not limit the composition of the server 120; it can be determined as needed.

[0059] As can be seen, in practical applications, the structure of the financial system proposed in this application is not limited to... Figure 1 The structure shown can be configured with other equipment such as databases, operation and maintenance management equipment, and monitoring equipment according to actual needs. This application does not list them all.

[0060] Reference Figure 2 This is a schematic diagram of the hardware structure of an optional example of an electronic device suitable for the image processing method based on a financial system proposed in this application. This electronic device can be a business terminal within a financial system, such as... Figure 2 As shown, it may include, but is not limited to: a communication module 111, an input component 112, an output component 113, a memory 114, and a processor 115, wherein:

[0061] The number of each of the communication module 111, input component 112, output component 113, memory 114 and processor 115 can be at least one, and the communication module 111, input component 112, output component 113, memory 114 and processor 115 can be connected to the communication bus of the electronic device to realize mutual communication and meet the data interaction requirements.

[0062] The communication module 111 may include a communication module capable of data interaction using a wireless communication network, such as a WIFI module, a 5G / 6G (fifth-generation mobile communication network / sixth-generation mobile communication network) module, a GPRS module, etc. The communication module 111 may also include a communication interface for data interaction between internal components of the electronic device, such as a USB interface, a serial / parallel port, an I / O port, etc. This application does not limit the specific contents included in the communication module 111.

[0063] The input component 112 may include at least one of the following devices: a touch sensing unit for sensing touch events on a touch display panel, a keyboard, a mouse, a camera, a microphone, a scanner, etc., and may be determined based on factors such as the product type of the electronic device and the user's usage habits when using the electronic device to input information.

[0064] The output component 113 may include at least one of the following devices: a display, a speaker, a vibration mechanism, a lamp, etc. The display may include a display panel, such as a touch display panel, for displaying the various business interfaces of the financial system so as to realize business interaction.

[0065] The memory 114 can be used to store a program that implements the image processing method based on the financial system described in the following method embodiments; the processor 115 can load and execute the program stored in the memory to implement the various steps of the image processing method based on the financial system described in the following corresponding method embodiments. The specific implementation process can be referred to the description of the corresponding part of the following embodiments, which will not be described in detail here.

[0066] In this embodiment, memory 114 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device. Processor 115 may be a central processing unit (CPU), application-specific integrated circuit (ASIC), digital signal processor (DSP), application-specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA), or other programmable logic device.

[0067] It should be understood that, Figure 2 The structure of the electronic device shown does not constitute a limitation on the electronic device in the embodiments of this application. In practical applications, the electronic device may include more than Figure 2 The application does not list all of the more or fewer components shown, or combinations of certain components, such as antennas, sensor modules, power supply modules, etc.

[0068] Reference Figure 3 This is a flowchart illustrating an optional example of the image processing method based on a financial system proposed in this application. This method can be executed by an electronic device and can describe from the client side of the financial system how, based on the integrated financial system described above, image information of various attachments for any business transaction can be classified, uploaded, and stored. Figure 3 As shown, the method may include:

[0069] Step S31: Obtain the image upload trigger instruction for the target business under the financial system, output the image classification interface for the target business, and display the classification identifiers of the multiple image folders configured for the target business in the image classification interface.

[0070] For users who need to upload image information as attachments, after logging into the financial system using an electronic device, they can determine the target business based on the actual situation and trigger the image upload function of the target business in the financial system. For example, triggering the business identifier of the target business on the image operation page of the financial system will generate a corresponding image upload trigger instruction. The server of the financial system can determine the target business based on this and feed back the image classification interface information corresponding to the target business to the electronic device, which will then output the image classification interface of the target business.

[0071] In practical applications, the image classification interface information mentioned above may include: classification identifiers for multiple image folders configured for the target business, and may also include page layout information, page background information, etc., as needed. This information can be determined based on the developer's design of the image classification interface for the target business, and will not be detailed in this application. The classification identifier may be the folder name, folder icon, etc., of the corresponding image folder. The folder name may be based on the type of image information that the image folder can store.

[0072] In this embodiment, the target business can be the business category to which the uploaded attachment belongs, such as office expense reimbursement (or application), business trip expense reimbursement (or application), or any other type of reimbursement (or application). This can be determined based on the types of business operations within the enterprise, and will not be detailed in this application. Therefore, it can be understood that for different types of business, the types of attachments that the applicant / reimbursement applicant or other image uploader needs to upload are often different, and the configured image folder categories will differ accordingly, depending on the situation. In this way, financial system developers or maintainers can complete the development and maintenance of the corresponding image classification interface based on the attachment categories and other information required for each business. The implementation process will not be detailed in this application.

[0073] Based on this, when users log into the financial system to report image information of each attachment for a target business, after accessing the electronic image operation interface of the financial system using an electronic device and selecting the target business, the corresponding image classification interface will display the classification labels of multiple image folders configured for that target business. Users can thus know which attachments need to be uploaded for that target business, guiding them to send the image information of the currently uploaded attachments to the corresponding category of image folder for storage. To a certain extent, this can reduce the probability of users transmitting, mistransmitting, or repeatedly transmitting attachment image information, and improve the reliability and efficiency of image uploading.

[0074] For example, taking the office expense reimbursement business as an example, according to the company's financial management regulations, the office expense reimbursement requirements usually require the submission of image information of at least one of the following attachments: invoices (invoices for different types of invoices such as material and service procurement invoices), receipts, contracts, certificates, etc. In this way, during the development or maintenance of the financial system, the developer or operator can configure corresponding invoice image folders (which can be further subdivided according to the invoice type), receipt image folders, contract image folders, certificate image folders, etc., for the office expense reimbursement business, and determine the classification identifier of each image folder according to the method described above, so as to identify each image folder.

[0075] In this way, when a user logs into the financial system and selects the image information of each attachment for the office expense reimbursement business, the corresponding image category interface can display the category labels of various image folders such as the invoice image folder, receipt image folder, contract image folder, and certificate image folder mentioned above. This can guide the user to upload the corresponding invoices, receipts, contracts, certificates, and other attachments so as to quickly complete the reimbursement of this office expense document.

[0076] Understandably, for expense reimbursement services such as business trips, the pre-configured image folders for different categories may include, but are not limited to, one or more of the following: flight itineraries, train tickets, taxi receipts, bus (ship) tickets, accommodation invoices, restaurant invoices, other types of invoices, contracts, and other attachments, to store image information for the corresponding attachments. The processing methods for different categories of business are similar to those for office expense reimbursement services described above, and will not be detailed in detail here.

[0077] Step S32: In response to the selection operation of any category identifier, output the image upload interface for the target image folder; the target image folder refers to the image folder with the selected category identifier.

[0078] For users uploading attached image information for a target service, by viewing the image classification interface of that target service displayed on the electronic device, they can determine which attachment or category to upload based on the classification labels of each image folder and all the attachments for that target service, according to their personal preference or the display order of the classification labels on the image classification interface. Then, they can select to touch the classification label of the corresponding category image folder. The electronic device responds to this selection touch operation and can output the image upload interface for the selected target image folder to instruct the user to upload the image information of the corresponding category of attachments.

[0079] The image upload interface can be determined based on the image information upload method. For example, for the scan upload method, the image upload interface can be a scan interface; for the local import method, the image upload interface can be a local import selection interface, which may include a directory selection box for selecting the storage path of the locally stored image information, and a display of the image information stored under the selected storage path, etc. This application does not limit the type and layout of the image upload interface, and can be determined as appropriate.

[0080] Optionally, after selecting the category identifier of any displayed image folder in the image classification interface of the target business, the user can pop up the corresponding image upload interface on the image classification interface; or they can jump to the corresponding image upload interface for output. This application does not restrict the output method of the image upload interface and its output relationship with the image classification interface, and can be configured or adjusted according to the actual situation.

[0081] Step S33: In response to the attachment upload operation on the image upload interface, send the image information of the corresponding category of attachment to be uploaded to the target image folder for storage.

[0082] In practical applications, for the output image upload interface category, the upload method for uploading attachment image information to the corresponding image folder can be determined, such as scanning or local import. Then, the corresponding attachment upload operation can be used to upload the image information of the attachment to be uploaded to the currently selected target image folder.

[0083] In some application scenarios, if the attachment to be uploaded includes paper documents, the image upload interface currently output by the electronic device can be a scanning interface. The user can place the attachment to be uploaded within the capture range of the electronic device's camera / scanner so that the electronic device can obtain the image information of the attachment to be uploaded and send the image information to the target image folder configured for the target business in the financial system for storage.

[0084] In some application scenarios, the attachments to be uploaded include electronic files, such as electronic invoices and electronic contracts. In this case, the electronic file can be directly used as image information without the need for image acquisition. Therefore, the image upload interface currently output by the electronic device can be a local import selection interface. Users can enter or select the storage path of the image information of the currently uploaded attachment in the directory selection box, that is, the storage path of the currently uploaded attachment in the electronic device. Then, the image information under the storage path can be read and sent to the selected target image folder for storage.

[0085] It should be noted that after the user selects the attachment to be uploaded, if the category of the image upload interface output by the electronic device does not match, the upload type can be converted. This allows the currently output first-type image upload interface to be switched to the second-type image upload interface. For example, switching control between the scanning interface and the local import selection interface can be implemented so that the electronic device outputs the required type of image upload interface. The image information of the attachment to be uploaded can be classified and uploaded in accordance with the method described above.

[0086] In addition, regarding the methods for uploading the attached image information proposed in this application, and the types of the corresponding image upload interfaces, including but not limited to the scanning methods based on cameras / scanners and local import methods described above, developers or operators can configure the corresponding image upload services in the financial system according to actual needs. The implementation process will not be detailed in this application.

[0087] In practical applications, following the method described above, after uploading the image information of each attachment to be uploaded for the target business to the corresponding image folder, the image classification interface can display the attachment identifier of each image information obtained (e.g., by scanning or local import), the total number of image information, and even a detailed list of the corresponding attachments, allowing users to check whether the obtained image information content is correct. Optionally, during the process of uploading attachments according to the above method, each successful upload, i.e., successful scanning / import of the attachment image information, can output a corresponding successful upload prompt message. This application does not limit the content of the prompt message or its output method.

[0088] Step S34: In response to the image submission operation, obtain the image identifier for the attachment to be uploaded, associate the image identifier with the target image folder and store it.

[0089] After successfully uploading all attachments for the target business, the user can click the "Submit" or "Upload" button to perform an image submission operation. This instructs the electronic device to persistently store the image information of each attachment uploaded for the target business in the financial system. Therefore, after detecting this image submission operation, the electronic device can generate a corresponding image identifier, such as an image barcode. This image barcode is then associated with each target image folder selected and containing the uploaded image information and stored therein. This achieves the classified storage of image information for different attachments corresponding to each document, so that the various image information under the document can be viewed or approved later based on the image identifier of the document.

[0090] In summary, in this embodiment, multiple image folders are configured in the financial system for different business operations to store image information of attachments of the corresponding type under that business. This achieves classified storage of image information of various attachments for different businesses. When a user needs to upload image information of attachments for a target business, they can select the image folder corresponding to the type of attachment to be uploaded from the image classification interface of the target business. The corresponding image upload interface is then output, and the image information of the attachment to be uploaded is sent to the selected target image folder. This ensures that each image folder only stores image information of the corresponding category of attachments, guaranteeing accurate classification of image information. This reduces the probability of missing, incorrect, or duplicate transmission of attachment image information and improves the reliability of attachment image information upload.

[0091] Reference Figure 4 This is a flowchart illustrating another optional example of the image processing method based on a financial system proposed in this application. This embodiment can describe an optional refined implementation of the image processing method based on a financial system described above, such as... Figure 4 As shown, the method may include:

[0092] Step S41: Output the business selection interface of the financial system, and display the business identifiers of various businesses supported by the financial system on the business selection interface.

[0093] Step S42: In response to the selection of the service identifier of the target service, the image classification interface of the target service is output, and the classification identifiers of the multiple image folders configured for the target service are displayed in the image classification interface.

[0094] In this embodiment, the service identifier may include a service name, service icon, etc., and can represent the image upload entry of the corresponding service. Users can touch the service identifier of the target service according to their actual image upload needs to enter the image classification interface of the target service. The image classification interface may be located in part of the display area of ​​the service selection interface. When the user touches different services, the corresponding image classification interface can display the classification identifier of the image folder configured for the touched service. Of course, the image classification interface may be displayed on the layer above the service selection interface, etc. This application does not limit the output method of the image classification interface and its output relationship with the service selection interface.

[0095] As can be seen, the financial system proposed in this application adds image category folders (i.e. image folders described in context) for different business operations. Based on the corresponding type of attachment name, a category identifier is configured, which can generate an attachment category configuration table (such as an invoice category configuration table) to record the category identifiers of the image folders corresponding to different types of attachments. This application does not restrict the representation of the attachment category configuration table and can be determined as appropriate.

[0096] Step S43: In response to the selection operation of any category identifier, output the image upload interface for the target image folder; the target image folder refers to the image folder with the selected category identifier.

[0097] As described in the corresponding sections of the above embodiments, the corresponding image upload interface will only be output after the user selects the target image folder to which they want to upload the attached image information. If the user performs an image upload operation on the current output interface before this, such as clicking the image upload function button, the electronic device will not collect or import the image information. Therefore, in response to the impact on the upload operation, the electronic device can first detect whether the target image folder has been selected. If so, it can output the image upload interface for the target image folder; if not, it can output an image folder selection prompt to instruct the staff to select the image folder corresponding to the type of attachment to be uploaded, such as "Please select the image folder type corresponding to the invoice first," etc. In this way, the corresponding image upload interface will only be output after the user selects the target image folder corresponding to the type of image information to be uploaded.

[0098] Step S44: In response to the attachment upload operation on the image upload interface, obtain the image information and attachment category of the attachment to be uploaded;

[0099] Based on the description of the image upload interface in the above embodiments, the attachment upload operation performed on different types of image upload interfaces can vary. For example, for a scanning interface, an image acquisition device such as a camera or scanner can be activated to acquire an image of the attachment to be uploaded; for an import selection interface, the attachment upload operation can be an input operation of the storage path of the attachment to be uploaded.

[0100] To ensure the reliability and accuracy of the classification of stored image information, this application can also add an image information verification function to the financial system to avoid storing image information of different types of attachments in the image folder. The type identification of the attachment to be uploaded can be performed based on image recognition technology, such as identifying the attachment content that represents the attachment type to determine the attachment category of the attachment to be uploaded; or semantic recognition can be performed on the image information of the attachment to be uploaded to determine the attachment category of the attachment to be uploaded, etc. This application does not restrict the method of obtaining the attachment category of the attachment to be uploaded.

[0101] Step S45: Verify whether the attachment category matches the selected classification identifier. If not, proceed to step S46; if yes, proceed to step S47.

[0102] The financial system of this application can restrict each image folder to only storing image information of the corresponding type of attachment. In this way, after obtaining the image information of the attachment to be uploaded, it can first verify whether the attachment category of the image information allowed to be stored in the target image folder is the same as the attachment category of the attachment to be uploaded. That is, whether the category of the image folder is consistent with the attachment category of the attachment to be uploaded. The category of the image folder can be represented by a classification identifier. Therefore, it can detect whether the attachment category of the attachment to be uploaded matches the classification identifier to determine whether the currently obtained image information can be sent to the target image folder.

[0103] Step S46: Output a message indicating an error in the attachment upload to instruct the image uploader to replace the attachment to be uploaded;

[0104] Following the verification method described above, if the category identifier of the target image folder does not match the attachment category of the current attachment to be uploaded, it indicates that the target image folder is not the category folder used to store the image information of the current attachment to be uploaded. A corresponding prompt message can be output, prompting the image uploader to change the attachment to be uploaded. The attachment can be changed according to the category identifier of the target image folder. Alternatively, the matching image folder can be selected as the target image folder according to the type of the current attachment to be uploaded, and the verification can continue according to the method described above.

[0105] Step S47: Send the image information of the attachment to be uploaded to the target image folder for storage;

[0106] Step S48: In response to the image submission operation, obtain the image identifier for the attachment to be uploaded, associate the image identifier with the target image folder and store it.

[0107] Only when the type of the attachment to be uploaded matches the category of the target image folder will the image information of the attachment be sent to the target image folder for storage. After sending the image information of each attachment to be uploaded for the target business to the corresponding target image folder, the image submission operation can be performed, generating an image identifier for this target business, such as an image barcode for the image information of each attachment included in this submitted business document. This image barcode is associated with each of the aforementioned target image folders containing the uploaded image information and stored in the financial system's database, realizing unified storage of original document images for subsequent full-process image review or approval.

[0108] In some other embodiments proposed in this application, based on the user's image category upload requirements for any business in the financial system, the image folders in the existing attachment category configuration table can be expanded or deleted. Therefore, in the scenario of image folder expansion requirements, when there is no image folder of the corresponding category of the attachment to be uploaded in the currently output image category interface, the image category expansion operation can be performed. In response to the image category expansion operation for the target business, the electronic device can send a corresponding image category expansion request to the server of the financial system. The image category expansion request may include, but is not limited to, the image folder category to be expanded.

[0109] After receiving the image classification expansion request, the server can generate a corresponding image classification expansion task and send it to the preset developer or operator client. This reminds the developer / operator to expand the image folder of the requested type for the target business. In the image folder corresponding to the target business in the financial system, the requested type of image folder and its classification identifier are added, and the corresponding image folder expansion information is obtained. This information is then sent to each user client using the financial system. In this way, after the electronic device running the client obtains the image folder expansion information for the target business, it can update the image classification interface of the target business. The updated image classification interface adds the classification identifier of the requested expanded image folder to be displayed. Of course, this does not affect the display of the original image folders of the target business.

[0110] Optionally, for the extended scenarios of the above-mentioned image folders, new category image folders at the same level as existing image folders can be added, or existing image folders can be further subdivided. For example, for the invoice image folder, image subfolders corresponding to each invoice category can be configured according to the invoice category. The implementation process will not be described in detail in this application.

[0111] In some other embodiments, when at least one type of image folder in the currently output image classification interface does not meet financial requirements, a selective deletion operation can be performed on this type of image folder. In response to the selective deletion operation on at least one image folder displayed on the image classification interface, the electronic device sends a corresponding image classification deletion request to the financial system's server. This request includes the classification identifier of the requested image folder. Then, following the extended task notification method described above, the developer or operator is notified to delete the image folder requested by the user in the attachment classification configuration table for the target business. The obtained corresponding image folder deletion information is sent to each client of the financial system, enabling the electronic device running the client to obtain the image folder deletion information for the target business. This updates the image classification interface for the target business, removing the classification identifier of the selected image folder from the image classification interface. The updated image classification interface displays image folders that conform to the corresponding type of folders that meet the financial requirements for attachment uploads for the target business, avoiding the display of useless image folders and saving resources.

[0112] Based on the image processing method for the financial system described in the above embodiments, users can also query the attached image information of a certain business uploaded by themselves or other users and stored in the financial system. Since the image information is stored in categories, when performing an image query operation, users can first select the target category identifier of the target image folder they want to query. The electronic device responds to the image query operation for the target category identifier and can output a first image query page. The first image query page displays the image information stored in each image folder associated with the target category identifier. After that, users can select the image information they want to query for display.

[0113] In some other embodiments, users can also directly select a document to view the corresponding stored attachment image information. In this case, the electronic device can respond to the image query operation for the target image identifier, obtain the target image information stored in different image folders associated with the target image identifier, and then output an image query page. The image query page displays the category identifiers of each image folder to which the target image information belongs. In this way, the user can select to view the image information stored in each image folder. The electronic device responds to the selection and viewing operation of any category identifier displayed on the image query page, outputs an image display interface, and displays the target image information stored in the image folder corresponding to the selected category identifier, as well as the attachment details list contained in the target image information. This application does not limit the implementation method of viewing the image information of each attachment.

[0114] In some other embodiments, the financial system of this application may also restrict the way image information can be viewed. According to the financial security regulations of the enterprise, corresponding constraints can be determined, so that the server can determine whether to execute and how to execute image query requests / operations from the client according to the constraints. This application does not describe in detail the content of the constraints and their configuration implementation methods, which can be determined as appropriate.

[0115] In practical applications, after receiving a business approval task, each business approver within an enterprise can log into the financial system, view the pending approval tasks under their own permissions, and then select to execute any pending approval task. Based on the task information, they can retrieve the corresponding pending approval image information from the database. Then, according to the enterprise's approval requirements for this type of enterprise, they can determine whether the pending approval image information uploaded by the user is complete and whether the uploaded image information content is correct, and provide feedback on the approval result to the corresponding user. This application does not detail the approval process and execution procedure for image information.

[0116] Optionally, for approved historical image information, the server can migrate it from its current image folder to other image folders under the corresponding business for storage, so as to facilitate subsequent review. There are no restrictions on the migration method for historical image information, and it is not limited to this migration storage method, but can be determined as appropriate.

[0117] Reference Figure 5 This is a schematic diagram of an optional example of the image processing apparatus based on a financial system proposed in this application. The apparatus can be described from the electronic device side, such as... Figure 5 As shown, the device may include:

[0118] The image classification interface output module 51 is used to obtain the image upload trigger instruction for the target business under the financial system, output the image classification interface of the target business, and display the classification identifiers of multiple image folders configured for the target business in the image classification interface.

[0119] The image upload interface output module 52 is used to output an image upload interface for a target image folder in response to the selection operation of any of the category identifiers; the target image folder refers to the image folder with the selected category identifier;

[0120] The image upload module 53 is used to send the image information of the corresponding category of attachment to be uploaded to the target image folder for storage in response to the attachment upload operation of the image upload interface.

[0121] The image information storage module 54 is used to respond to the image submission operation, obtain the image identifier for the attachment to be uploaded, associate the image identifier with the target image folder and store it.

[0122] Optionally, the image uploading module 53 may include:

[0123] The first obtaining unit is used to obtain the image information and attachment category of the attachment to be uploaded in response to the attachment upload operation of the image upload interface;

[0124] A verification unit is used to verify whether the attachment category matches the selected classification identifier;

[0125] The first sending unit is used to send the image information of the attachment to be uploaded to the target image folder for storage when the verification result of the verification unit is yes.

[0126] The prompt message output unit is used to output a prompt message indicating an error in the attachment upload if the verification result of the verification unit is negative, so as to instruct the image uploader to replace the attachment to be uploaded.

[0127] Optionally, before the user performs a selection operation on any of the classification identifiers, the above-described apparatus may further include:

[0128] The prompt message output module is used to respond to image upload operations and output image folder selection prompt messages to instruct staff to select the image folder corresponding to the category of the attachment to be uploaded.

[0129] In yet another embodiment, based on the image processing apparatus for a financial system described in the above embodiments, such as... Figure 6 As shown, the device may further include:

[0130] The first sending module 55 is used to send a corresponding image classification extension request to the server of the financial system in response to the image classification extension operation for the target business; wherein, the image classification extension request includes the category of the image folder to be extended, and the image classification extension operation is performed when there is no image folder of the category corresponding to the attachment to be uploaded in the currently output image classification interface;

[0131] The first update module 56 is used to obtain image folder extension information for the target service, update the image classification interface, and add a classification identifier for the requested extended image folder to the updated image classification interface.

[0132] In some other embodiments, such as Figure 5 As shown, the above-mentioned device may further include:

[0133] The second sending module 57 is used to send a corresponding image category deletion request to the server of the financial system in response to the selection and deletion operation of at least one of the image folders displayed on the image classification interface.

[0134] The second update module 58 is used to obtain image folder deletion information for the target business and update the image classification interface to remove the classification identifier of the selected image folder to be deleted from the image classification interface.

[0135] Based on the description of the embodiments above, in some other embodiments, the above-described apparatus may further include:

[0136] The first output module is used to respond to an image query operation for a target classification identifier, output a first image query page, and display the image information stored in each image folder associated with the target classification identifier on the first image query page;

[0137] or,

[0138] The target image information acquisition module is used to obtain target image information stored in different image folders associated with the target image identifier in response to an image query operation targeting the target image identifier.

[0139] The second output module is used to output an image query page, which displays the classification identifiers of each image folder to which the target image information belongs.

[0140] The third output module is used to respond to the selection and viewing operation of any of the category identifiers displayed on the image query page, and output an image display interface. The image display interface displays the target image information stored in the image folder corresponding to the selected category identifier, as well as the attachment details list contained in the target image information.

[0141] It should be noted that the various modules and units in the above-mentioned device embodiments can all be stored in the memory as program modules. The processor can execute the above-mentioned program modules stored in the memory to realize the corresponding functions. Alternatively, the program model can be combined with hardware to realize the functions and technical effects achieved by each program module and its combination. For the description of the corresponding part of the above-mentioned method embodiments, please refer to the description of each program module and its combination. This embodiment will not repeat it.

[0142] This application also provides a computer-readable storage medium storing a computer program, which is loaded and executed by a processor to implement the steps of the above-described image processing method based on a financial system. The specific implementation process can be referred to the description of the corresponding part of the above embodiments, and will not be repeated in this embodiment.

[0143] Finally, it should be noted that, regarding the above embodiments, unless the context explicitly indicates an exception, the words "a," "an," "an," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of explicitly identified steps and elements, and these steps and elements do not constitute an exclusive list; the method or apparatus may also include other steps or elements. An element defined by the phrase "comprising an..." does not exclude the presence of other identical elements in the process, method, product, or apparatus that includes the element.

[0144] In the description of the embodiments of this application, unless otherwise stated, " / " means "or", for example, A / B can mean A or B; "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, in the description of the embodiments of this application, "multiple" refers to two or more.

[0145] The terms used in this application, such as "first" and "second," are for descriptive purposes only, used to distinguish one operation, unit, or module from another, and do not necessarily require or imply any such actual relationship or order between these units, operations, or modules. Furthermore, they should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature.

[0146] Furthermore, the various embodiments in this specification are described in a progressive or parallel manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatuses, electronic devices, storage media, and systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and relevant details can be found in the method section.

[0147] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design preconditions of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0148] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the core ideas or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An image processing method based on a financial system, characterized in that, The method includes: Obtain an image upload trigger command for a target business under the financial system, output an image classification interface for the target business, and display the classification identifiers of multiple image folders that are pre-configured for the target business and each corresponds to a defined attachment category in the image classification interface; In response to the image upload operation, an image folder selection prompt message is output to instruct staff to select the image folder corresponding to the category of the attachment to be uploaded; In response to the selection operation of any of the aforementioned category identifiers, an image upload interface for the target image folder is output; the target image folder refers to the image folder with the selected category identifier. In response to the attachment upload operation on the image upload interface, the image information of the attachment to be uploaded is obtained, and the attachment category of the attachment to be uploaded is identified based on image recognition technology; it is verified whether the attachment category matches the attachment type corresponding to the selected category identifier; if they match, the image information of the attachment to be uploaded is sent to the target image folder for storage; if they do not match, a prompt message is output. In response to an image submission operation, an image identifier is obtained to uniquely identify the business document corresponding to this image submission operation. The image identifier is then associated with the target image folder and stored, wherein the image identifier is associated with at least one of the target image folders.

2. The method according to claim 1, characterized in that, The method further includes: In response to the image classification expansion operation for the target business, a corresponding image classification expansion request is sent to the server of the financial system; wherein, the image classification expansion request includes the category of the image folder to be expanded, and the image classification expansion operation is performed when there is no image folder of the category corresponding to the attachment to be uploaded in the currently output image classification interface; Obtain the image folder extension information for the target service, update the image classification interface, and add a classification identifier for the requested extended image folder to the updated image classification interface.

3. The method according to claim 1, characterized in that, The method further includes: In response to the selection and deletion operation of at least one of the image folders displayed on the image classification interface, a corresponding image classification deletion request is sent to the server of the financial system. Obtain the image folder deletion information for the target business, update the image classification interface to remove the classification label of the selected image folder from the image classification interface.

4. The method according to any one of claims 1-3, characterized in that, The method further includes: In response to an image query operation targeting a target category identifier, a first image query page is output, displaying image information stored in each image folder associated with the target category identifier. or, In response to an image query operation targeting a target image identifier, target image information stored in different image folders associated with the target image identifier is obtained; Output an image query page, which displays the category identifiers of each image folder to which the target image information belongs; In response to the selection and viewing operation of any of the category identifiers displayed on the image query page, an image display interface is output, which displays the target image information stored in the image folder corresponding to the selected category identifier, as well as the attachment details list contained in the target image information.

5. An image processing device based on a financial system, characterized in that, The device includes: The image classification interface output module is used to obtain the image upload trigger instruction for the target business under the financial system, output the image classification interface of the target business, and display the classification identifiers of multiple image folders that are pre-configured for the target business and each corresponds to a defined attachment category in the image classification interface. The prompt message output module is used to respond to the image upload operation and output an image folder selection prompt message to instruct the staff to select the image folder corresponding to the category of the attachment to be uploaded; The image upload interface output module is used to output an image upload interface for a target image folder in response to the selection operation of any of the aforementioned category identifiers; the target image folder refers to the image folder with the selected category identifier; The image upload module is used to respond to the attachment upload operation on the image upload interface, obtain the image information of the attachment to be uploaded, and identify the attachment category of the attachment to be uploaded based on image recognition technology; verify whether the attachment category matches the attachment type corresponding to the selected category identifier; if they match, send the image information of the attachment to be uploaded to the target image folder for storage; if they do not match, output a prompt message. The image information storage module is used to respond to an image submission operation by obtaining an image identifier that uniquely identifies the business document corresponding to the current image submission operation, and storing the image identifier in association with the target image folder, wherein the image identifier is associated with at least one of the target image folders.

6. An electronic device, characterized in that, include: Input component; Output components; A memory for storing a program that implements the image processing method based on a financial system as described in any one of claims 1-4; A processor is configured to load and execute the program stored in the memory to implement the image processing method based on a financial system as described in any one of claims 1-4.

7. A computer-readable storage system having a computer program stored thereon, characterized in that, The computer program is loaded and executed by the processor to implement the image processing method based on the financial system as described in any one of claims 1-4.

8. A financial system, characterized in that, The system includes: at least one service terminal and a server, wherein: The business terminal communicates and interacts with the server to implement the image processing method based on the financial system as described in any one of claims 1-4. The server is used to store image information in at least one image folder associated with each image identifier uploaded by the service terminal.

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