CN116310423A - Image recognition method, device, electronic equipment and readable storage medium - Google Patents

Image recognition method, device, electronic equipment and readable storage medium Download PDF

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CN116310423A
CN116310423A CN202310402512.XA CN202310402512A CN116310423A CN 116310423 A CN116310423 A CN 116310423A CN 202310402512 A CN202310402512 A CN 202310402512A CN 116310423 A CN116310423 A CN 116310423A
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transaction
image
information
attribute information
preset
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彭杰文
林伟健
陈嘉新
甘金雄
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Industrial and Commercial Bank of China Ltd ICBC
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Industrial and Commercial Bank of China Ltd ICBC
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    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

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Abstract

The disclosure provides an image recognition method, an image recognition device, electronic equipment and a readable storage medium, which can be applied to the technical fields of image recognition and financial science and technology. The method comprises the following steps: generating transaction document information of the first transaction operation page according to the operation information of the first transaction operation page; calling an interface-free browser interface, and resetting a second transaction operation page corresponding to the transaction evidence file information according to the transaction evidence file information; generating a transaction image to be identified corresponding to a second transaction operation page according to first attribute information of a preset transaction image, wherein the first attribute information of the transaction image to be identified is consistent with the first attribute information of the preset transaction image; matching the second attribute information of the transaction image to be identified with the second attribute information of the preset transaction image by utilizing an image identification algorithm to obtain a matching result; and under the condition that the matching results are consistent, determining the transaction image to be identified as the target transaction image.

Description

Image recognition method, device, electronic equipment and readable storage medium
Technical Field
The present disclosure relates to the field of image recognition and financial technology, and in particular, to an image recognition method, apparatus, electronic device, readable storage medium, and program product.
Background
With the development of digital finance, a user performs a transaction operation involving a money transaction, an associated risk assessment, a user agreement signing and the like through a certain financial application program, and the products of the operations can be understood as digital contracts and stored in a transaction system in the form of structured data. However, for clients and related business personnel, a visual credential displayed in the form of an image is required to be used as proof evidence or a document of the moment of the key operation scene so as to be convenient for calling and viewing.
The traditional visual credential may be implemented by two schemes: first, using a program component that can generate an image, an image template and scene data are input, and an image file is output. The method needs to design an image template and an adaptive writing program for each business scene independently, requires additional development cost, and cannot be used as a visual transaction operation electronic certificate.
Secondly, dividing important transaction operation requiring a certificate to be reserved in a client according to a service scene, starting a client program screen capturing function when the client executes the transaction operation by using the client, recording current screen display information of the client, outputting the current screen display information as an image file, and submitting the image to a system server for archiving and reserving in a file uploading mode. According to the method, an output image is associated with a client running environment, screenshot files with consistent size specifications and display styles cannot be obtained, a large amount of data storage space is required to be consumed for storing a large amount of image files, the screenshot is preset for each transaction operation according to the client, and important transaction operation scenes are automatically identified.
Disclosure of Invention
In view of the foregoing, the present disclosure provides an image recognition method, apparatus, electronic device, readable storage medium, and program product.
According to an aspect of the present disclosure, there is provided an image recognition method including: generating transaction document information of the first transaction operation page according to the operation information of the first transaction operation page; calling an interface-free browser interface, and resetting a second transaction operation page corresponding to the transaction evidence file information according to the transaction evidence file information; generating a transaction image to be identified corresponding to a second transaction operation page according to first attribute information of a preset transaction image, wherein the first attribute information of the transaction image to be identified is consistent with the first attribute information of the preset transaction image; matching the second attribute information of the transaction image to be identified with the second attribute information of the preset transaction image by utilizing an image identification algorithm to obtain a matching result; and under the condition that the matching results are consistent, determining the transaction image to be identified as the target transaction image.
According to an embodiment of the present disclosure, the operation information includes operation page identification information and transaction attribute information.
According to an embodiment of the present disclosure, generating transaction document information of a transaction operation page according to operation information of a first transaction operation page includes: and calling an application service component, and generating transaction verification file information of the transaction operation page according to the operation page identification information and the transaction attribute information.
According to an embodiment of the present disclosure, generating a transaction image to be identified corresponding to a second transaction operation page according to first attribute information of a preset transaction image includes: calling an interface-free browser interface to acquire first attribute information of a preset transaction image; and executing screenshot operation on the second transaction operation page according to the first attribute information of the preset transaction image to obtain a transaction image to be identified, which corresponds to the transaction operation page.
According to an embodiment of the present disclosure, the above method further includes: and acquiring the operation information of the first transaction operation page.
According to an embodiment of the present disclosure, obtaining operation information of a first transaction operation page includes: acquiring identification information of a user; and calling a data storage component, and acquiring the operation information of the first transaction operation page corresponding to the user identification information according to the user identification information.
According to an embodiment of the present disclosure, the above method further includes: newly creating a preset service scene; and determining a preset transaction image corresponding to the preset service scene according to the preset service scene, and storing first attribute information and second attribute information of the preset transaction image.
According to an embodiment of the present disclosure, the above method further includes: and storing the target transaction image and transaction document information corresponding to the target transaction image.
Another aspect of the present disclosure provides an image recognition apparatus, including: the first generation module is used for generating transaction verification file information of the transaction operation page according to the operation information of the first transaction operation page; the restoration module is used for calling the interface-free browser interface and restoring a second transaction operation page corresponding to the transaction document information according to the transaction document information; the second generation module is used for generating a transaction image to be identified corresponding to the second transaction operation page according to the first attribute information of the preset transaction image, wherein the first attribute information of the transaction image to be identified is consistent with the first attribute information of the preset transaction image; the matching module is used for matching the second attribute information of the transaction image to be identified with the second attribute information of the preset transaction image by utilizing an image identification algorithm to obtain a matching result; and the first determining module is used for determining the to-be-identified transaction image as a target transaction image under the condition that the matching results are consistent.
Another aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method described above.
Another aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described method.
Another aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above method.
According to the image recognition method, the device, the electronic equipment, the readable storage medium and the program product, the transaction document information is generated according to the operation information of the transaction operation page, the corresponding transaction operation page is restored according to the transaction document information by utilizing the interface-free browser interface, the transaction image to be recognized corresponding to the restored transaction operation page is generated according to the attribute information of the preset transaction image, and the transaction image to be recognized is determined to be the target transaction image. The method and the device have the advantages that the important transaction operation images are automatically identified by reversely restoring the transaction operation scenes by utilizing the attribute information of the preset transaction images, the technical problems that the image templates and corresponding writing programs are required to be set for each business scene independently in the traditional scheme, the transaction images with uniform specifications cannot be generated, a large amount of storage space is occupied, the important transaction operation scenes cannot be automatically identified are solved, various transaction operation scenes can be flexibly corresponding, the transaction images with uniform specifications are generated, the storage space is saved, and the important transaction operation images are automatically identified are realized.
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The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:
FIG. 1 schematically illustrates an application scenario diagram of an image recognition method and apparatus according to an embodiment of the present disclosure;
FIG. 2 schematically illustrates a flow chart of an image recognition method according to an embodiment of the present disclosure;
FIG. 3 schematically illustrates a schematic diagram of an image recognition method according to an embodiment of the present disclosure;
fig. 4 schematically illustrates a block diagram of an image recognition apparatus according to an embodiment of the present disclosure; and
fig. 5 schematically illustrates a block diagram of an electronic device adapted to implement an image recognition method according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.
Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
In the technical scheme of the disclosure, the related data (such as including but not limited to personal information of a user) are collected, stored, used, processed, transmitted, provided, disclosed, applied and the like, all conform to the regulations of related laws and regulations, necessary security measures are adopted, and the public welcome is not violated.
The embodiment of the disclosure provides an image recognition method, which comprises the following steps: generating transaction document information of the transaction operation page according to the operation information of the first transaction operation page; calling an interface-free browser interface, and resetting a second transaction operation page corresponding to the transaction evidence file information according to the transaction evidence file information; generating a transaction image to be identified corresponding to a second transaction operation page according to first attribute information of a preset transaction image, wherein the first attribute information of the transaction image to be identified is consistent with the first attribute information of the preset transaction image; matching the second attribute information of the transaction image to be identified with the second attribute information of the preset transaction image by utilizing an image identification algorithm to obtain a matching result; and under the condition that the matching results are consistent, determining the transaction image to be identified as the target transaction image.
Fig. 1 schematically illustrates an application scenario diagram of an image recognition method and apparatus according to an embodiment of the present disclosure.
As shown in fig. 1, an application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is a medium used to provide a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 through the network 104 using at least one of the first terminal device 101, the second terminal device 102, the third terminal device 103, to receive or send messages, etc. Various communication client applications, such as a shopping class application, a web browser application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc. (by way of example only) may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103.
The first terminal device 101, the second terminal device 102, the third terminal device 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by the user using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that, the image recognition method provided by the embodiment of the present disclosure may be generally performed by the server 105. Accordingly, the image recognition apparatus provided by the embodiments of the present disclosure may be generally provided in the server 105. The image recognition method provided by the embodiments of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105. Accordingly, the image recognition apparatus provided by the embodiments of the present disclosure may also be provided in a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Fig. 2 schematically illustrates a flowchart of an image recognition method according to an embodiment of the present disclosure.
As shown in fig. 2, the method 200 may include operations S210 to S250.
In operation S210, transaction document information of the first transaction operation page is generated according to the operation information of the first transaction operation page.
According to an embodiment of the present disclosure, the first transaction operation page may be an operation page of a customer when performing a transaction operation. The operation information may include page content information of the client at the time of transaction operation page operation.
According to an embodiment of the present disclosure, the page content information may include transaction attribute information and operation page identification information of each operation transaction of the customer, for example. The operation page identification information may characterize the uniqueness of the transaction operation page.
According to embodiments of the present disclosure, the transaction attribute information may include an operation transaction time, an operation transaction order number, operation transaction contents, an operation transaction type, user information of an operation transaction, and the like. The operational transaction type may be transfer, agreement signing, risk assessment, etc.
According to embodiments of the present disclosure, the transaction document information may be text data representing the contents of a page of a customer when conducting a transaction operation, and may be understood as information filled in by the customer when operating the transaction page.
In operation S220, the interface-free browser interface is invoked, and the second transaction operation page corresponding to the transaction document information is restored according to the transaction document information.
According to embodiments of the present disclosure, the interface-less browser interface is an engine-based scripting interface that uses an engine to compile interpreted execution scripting code. Not only is a hidden browser provided, for example, supporting web standards, DOM operations, JSON, HTML5, etc., but also provides operations to handle file I/O, thereby enabling files, etc., to be read from and written to the operating system.
According to the embodiment of the disclosure, the interface of the non-interface browser is called, and the certification document information formed in the first transaction operation page is written into the non-interface browser based on the attribute of invisible browsing of the non-interface browser, so that the certification document information is accessed to restore the second transaction operation page corresponding to the transaction certification document information.
According to the embodiment of the present disclosure, the transaction operation page restored by the document information obtained from the first transaction operation page at the time of the second transaction operation page. That is, the second transaction operation page coincides with the operation information of the first transaction operation page.
In operation S230, a transaction image to be identified corresponding to the second transaction operation page is generated according to the first attribute information of the preset transaction image, wherein the first attribute information of the transaction image to be identified is consistent with the first attribute information of the preset transaction image.
According to embodiments of the present disclosure, the preset transaction image may be a standard transaction image of an important transaction operational scenario. The transaction image to be identified may be generated according to first attribute information of a preset transaction image.
According to an embodiment of the present disclosure, the first attribute information may include an operation page style and an image size corresponding to a preset transaction image. And generating a transaction image to be identified, which is consistent with the operation page style and the image size of the preset transaction image, for the restored second transaction operation page according to the operation page style and the image size of the preset transaction image.
According to an embodiment of the present disclosure, the first attribute information of the transaction image to be identified includes the same operation page style and image size as the first attribute information of the preset transaction image. The operating page style may include features such as design style, eye protection mode, ground color setting, etc.
In operation S240, the second attribute information of the transaction image to be identified is matched with the second attribute information of the preset transaction image by using the image identification algorithm, so as to obtain a matching result.
In operation S250, in case that the matching result is consistent, the transaction image to be recognized is determined as the target transaction image.
According to an embodiment of the present disclosure, the second attribute information may include information characterizing the content of the image page. For example, attribute information characterizing the image page content may include: operation transaction time, operation transaction order number, operation transaction content, operation transaction type, user information of operation transaction, and the like. The operational transaction type may be transfer, agreement signing, risk assessment, etc.
According to the embodiment of the disclosure, the image recognition algorithm can ensure a visual feature matching algorithm, and can perform feature matching on the second attribute information of the transaction image to be recognized and the second attribute information of the preset transaction image, and when the content of the second attribute information is completely matched, the transaction image to be recognized is described as the target transaction image.
According to an embodiment of the present disclosure, the preset transaction image may be provided as a plurality of, for example, 10 preset transaction images, each having different first attribute information and second attribute information. Specifically, a to-be-identified transaction image corresponding to a second transaction operation page is generated sequentially according to first attribute information of a preset transaction image with a first number, then visual feature matching is performed on second attribute information of the to-be-identified transaction image and second attribute information of the preset transaction image, and if the matching is consistent, the to-be-identified transaction image is indicated as a target transaction image; if the matching is inconsistent, generating a next to-be-identified transaction image corresponding to a second transaction operation page by using the first attribute information of the second preset transaction image, performing feature matching on the second attribute information of the to-be-identified transaction image and the second attribute information of the preset transaction image, and if the matching is inconsistent, determining the to-be-identified transaction image as a target transaction image.
According to an embodiment of the present disclosure, the target transaction image may be an image consistent with an operation transaction type of a preset transaction image, for example, the operation transaction type of the preset transaction image is a transfer, if the determined second attribute information of the to-be-identified transaction image is consistent with the second attribute confidence match of the preset transaction image, the operation transaction type of the to-be-identified transaction image is considered as the transfer, and the target transaction image is an important transaction image.
According to the embodiment of the disclosure, transaction document information is generated according to operation information of a transaction operation page, then the transaction operation page corresponding to the transaction document information is restored according to the transaction operation page by utilizing an interface-free browser interface, a transaction image to be identified corresponding to the restored transaction operation page is generated according to attribute information of a preset transaction image, and the transaction image to be identified is determined to be a target transaction image. The method and the device have the advantages that the important transaction operation images are automatically identified by reversely restoring the transaction operation scenes by utilizing the attribute information of the preset transaction images, the technical problems that the image templates and corresponding writing programs are required to be set for each business scene independently in the traditional scheme, the transaction images with uniform specifications cannot be generated, a large amount of storage space is occupied, the important transaction operation scenes cannot be automatically identified are solved, various transaction operation scenes can be flexibly corresponding, the transaction images with uniform specifications are generated, the storage space is saved, and the important transaction operation images are automatically identified are realized.
According to an embodiment of the present disclosure, generating transaction document information of a transaction operation page according to operation information of a first transaction operation page includes: and calling an application service component, and generating transaction verification file information of the transaction operation page according to the operation page identification information and the transaction attribute information.
According to embodiments of the present disclosure, an application service component may be a component of a customer when conducting a transaction operation. The page identification information can be the number information of the specific transaction operation page of the positioning client, and has uniqueness. The transaction attribute information may characterize page content information that locates a particular operational page of the customer, and may include, for example, operational transaction type, customer's username, operational transaction primary content, and the like.
According to the embodiment of the disclosure, the transaction verification file information corresponding to the first transaction operation page can be generated according to the operation page identification information and the corresponding transaction attribute information. The transaction document information may characterize the operation information of the first transaction operation page in the form of text data.
According to an embodiment of the present disclosure, generating a transaction image to be identified corresponding to a second transaction operation page according to first attribute information of a preset transaction image includes: calling an interface-free browser interface to acquire first attribute information of a preset transaction image; and executing screenshot operation on the second transaction operation page according to the first attribute information of the preset transaction image to obtain a transaction image to be identified, which corresponds to the transaction operation page.
According to the embodiment of the disclosure, the transaction document information can be accessed from the database, and the second transaction operation page corresponding to the transaction document information is restored by calling the interface-free browser interface and utilizing the transaction document information.
According to the embodiment of the disclosure, the image script of the preset transaction image can be obtained by using the interface-free browser, and the image script obtains first attribute information corresponding to one preset transaction image from a plurality of preset transaction images, namely, operation page style information and image size information.
According to the embodiment of the disclosure, the screenshot operation can be performed on the second transaction operation page according to the operation page style information and the image size information corresponding to the preset transaction image, and the sound field size is consistent with the operation page style of the transaction image to be identified. The transaction image to be identified includes images of all page content when the customer manipulates the transaction page.
According to the embodiment of the disclosure, the transaction operation page can be reversely restored from the transaction document information by using the operation page style and the image size of the preset transaction image, so that the transaction image capable of restoring the customer operation transaction page is generated, and the images with uniform size and uniform operation page style of the transaction image are obtained.
According to an embodiment of the present disclosure, the image recognition method may further include: and acquiring the operation information of the first transaction operation page.
According to an embodiment of the present disclosure, acquiring operation information of a first transaction operation page includes: acquiring identification information of a user; and calling a data storage component, and acquiring the operation information of the first transaction operation page corresponding to the user identification information according to the user identification information.
According to the embodiment of the disclosure, before the transaction document information is generated, the operation information of the transaction operation page can be acquired by a client when the transaction operation is performed.
According to the embodiment of the disclosure, the identification information of the user can be information such as a user name, a user number and the like of the user, and the user identification information has uniqueness.
According to the embodiment of the disclosure, after a user logs in a transaction operation page, transaction operation is performed on the transaction operation page, and meanwhile, operation transaction operated by the user is stored in data.
According to the embodiment of the disclosure, the data storage component can be invoked, and the operation information of the first transaction operation page corresponding to the user identification information is obtained from the database according to the user identification information. The operation information may include operation page identification information and transaction attribute information.
According to an embodiment of the present disclosure, the image recognition method may further include: newly creating a preset service scene; and determining a preset transaction image corresponding to the preset service scene according to the preset service scene, and storing first attribute information and second attribute information of the preset transaction image.
According to embodiments of the present disclosure, the preset business scenario may include a business scenario in which a customer handles different business, for example, may include signing agreements, marketing transactions, transfers, queries, and the like.
According to the embodiment of the disclosure, an important transaction service scene may be determined according to each preset service scene, and a transaction image of the important transaction service scene may be uploaded as a preset transaction image, and first attribute information and second attribute information of the preset transaction image are simultaneously stored, that is, the first attribute information includes operation page style information and image size information, the second attribute information includes transaction attribute information and may include operation transaction time, operation transaction number, operation transaction content, operation transaction type, user information of operation transaction, and the like. The operational transaction type may be transfer, agreement signing, risk assessment, etc.
According to an embodiment of the present disclosure, the image recognition method may further include: and storing the target transaction image and transaction document information corresponding to the target transaction image.
According to an embodiment of the present disclosure, after determining the transaction image to be identified as the target transaction image, the target transaction image and corresponding document information are archived for storage so as to invoke the electronic certificate as a digital contract.
Fig. 3 schematically illustrates a schematic diagram of an image recognition method according to an embodiment of the present disclosure.
As shown in fig. 3, in a method 300, operation S301, identification information of a user is acquired. In operation S302, operation information of a first transaction operation page corresponding to the user identification information is obtained according to the user identification information. In operation S303, a preset service scenario is newly created. In operation S304, a preset transaction image is determined according to a preset service scenario. Operation S304-1, storing first attribute information of a preset transaction image; in operation S304-2, second attribute information of the preset transaction image is stored. In operation S305, transaction document information of the first transaction operation page is generated according to operation S302, i.e., operation information of the first transaction operation page. And operation S306, resetting a second transaction operation page corresponding to the transaction verification document information according to the transaction verification document information. Operation S307, sequentially generating a transaction image to be identified corresponding to the second transaction operation page according to the first attribute information of the preset transaction image. In operation S308, the to-be-identified transaction image is matched with the second attribute information of the preset transaction image, so as to obtain a matching result. Operation S309, in the case of matching coincidence, determining the transaction image to be identified as the target transaction image; in the case of a match inconsistency, S307 to operation S308 are performed. Operation S310 stores the target transaction image and the corresponding transaction underwriting file information as electronic vouchers of the digital contract.
Based on the image recognition method, the disclosure also provides an image recognition device. The device will be described in detail below in connection with fig. 4.
Fig. 4 schematically shows a block diagram of the structure of an image recognition apparatus according to an embodiment of the present disclosure.
As shown in fig. 4, the apparatus 400 may include a first generation module 410, a restoration module 420, a second generation module 430, a matching module 440, and a first determination module 450.
The first generation module 410 is configured to generate transaction document information of the transaction operation page according to the operation information of the first transaction operation page. In an embodiment, the first generating module 410 may be used to perform the operation S210 described above, which is not described herein.
The restoring module 420 is configured to invoke the interface-free browser interface, and restore a second transaction operation page corresponding to the transaction document information according to the transaction document information. In an embodiment, the restoration module 420 may be used to perform the operation S220 described above, which is not described herein.
The second generation module 430 is configured to generate a transaction image to be identified corresponding to the second transaction operation page according to the first attribute information of the preset transaction image, where the first attribute information of the transaction image to be identified is consistent with the first attribute information of the preset transaction image. In an embodiment, the second generating module 430 may be configured to perform the operation S230 described above, which is not described herein.
The matching module 440 is configured to match the second attribute information of the transaction image to be identified with the second attribute information of the preset transaction image by using an image identification algorithm, so as to obtain a matching result. In an embodiment, the matching module 440 may be configured to perform the operation S240 described above, which is not described herein.
The first determining module 450 is configured to determine the transaction image to be identified as the target transaction image if the matching result is consistent. In an embodiment, the first determining module 450 may be used to perform the operation S250 described above, which is not described herein.
According to an embodiment of the present disclosure, the operation information includes operation page identification information and transaction attribute information.
According to an embodiment of the present disclosure, the first generation module 410 may include: the first call sub-module.
The first calling sub-module is used for calling the application service component and generating transaction verification file information of the transaction operation page according to the operation page identification information and the transaction attribute information.
According to an embodiment of the present disclosure, the second generating module 430 may include: the method comprises the steps of obtaining a sub-module and executing the sub-module.
The acquisition sub-module is used for calling the interface-free browser interface and acquiring first attribute information of the preset transaction image.
And the execution sub-module is used for executing screenshot operation on the second transaction operation page according to the first attribute information of the preset transaction image to obtain a transaction image to be identified, which corresponds to the transaction operation page.
According to an embodiment of the present disclosure, the image recognition apparatus 400 may further include: and an acquisition module.
The acquisition module is used for acquiring the operation information of the first transaction operation page.
According to an embodiment of the present disclosure, the acquiring module may include: the method comprises the steps of obtaining a sub-module and a second calling sub-module.
And the acquisition sub-module is used for acquiring the identification information of the user.
And the second calling sub-module is used for calling the data storage component and acquiring the operation information of the first transaction operation page corresponding to the user identification information according to the user identification information.
According to an embodiment of the present disclosure, the image recognition apparatus 400 may further include: a new module and a second determination module.
And the new module is used for creating a preset service scene.
The second determining module is used for determining a preset transaction image corresponding to the preset service scene according to the preset service scene, and storing the first attribute information and the second attribute information of the preset transaction image.
According to an embodiment of the present disclosure, the image recognition apparatus 400 may further include: and a storage module.
And the storage module is used for storing the target transaction image and the transaction document information corresponding to the target transaction image.
According to an embodiment of the present disclosure, any of the plurality of modules of the first generation module 410, the restoration module 420, the second generation module 430, the matching module 440, and the first determination module 450 may be combined in one module, or any of the plurality of modules may be split into a plurality of modules. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. According to embodiments of the present disclosure, at least one of the first generation module 410, the restoration module 420, the second generation module 430, the matching module 440, and the first determination module 450 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable way of integrating or packaging the circuitry, or in any one of or a suitable combination of any of the three implementations of software, hardware, and firmware. Alternatively, at least one of the first generation module 410, the restoration module 420, the second generation module 430, the matching module 440, and the first determination module 450 may be at least partially implemented as a computer program module, which when executed, may perform the corresponding functions.
Fig. 5 schematically illustrates a block diagram of an electronic device adapted to implement an image recognition method according to an embodiment of the present disclosure.
As shown in fig. 5, an electronic device 500 according to an embodiment of the present disclosure includes a processor 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. The processor 501 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 501 may also include on-board memory for caching purposes. The processor 501 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.
In the RAM 503, various programs and data required for the operation of the electronic apparatus 500 are stored. The processor 501, ROM 502, and RAM 503 are connected to each other by a bus 504. The processor 501 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 502 and/or the RAM 503. Note that the program may be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in one or more memories.
According to an embodiment of the present disclosure, the electronic device 500 may also include an input/output (I/O) interface 505, the input/output (I/O) interface 505 also being connected to the bus 504. The electronic device 500 may also include one or more of the following components connected to an input/output (I/O) interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drive 510 is also connected to an input/output (I/O) interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed.
The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 502 and/or RAM 503 and/or one or more memories other than ROM 502 and RAM 503 described above.
Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code means for causing a computer system to carry out the image recognition method provided by the embodiments of the present disclosure when the computer program product is run on the computer system.
The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 501. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.
In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed, and downloaded and installed in the form of a signal on a network medium, and/or installed from a removable medium 511 via the communication portion 509. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 509, and/or installed from the removable media 511. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 501. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.
According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.
The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims (11)

1. An image recognition method, comprising:
generating transaction verification file information of a first transaction operation page according to the operation information of the first transaction operation page;
Calling an interface-free browser interface, and restoring a second transaction operation page corresponding to the transaction evidence file information according to the transaction evidence file information;
generating a transaction image to be identified corresponding to the second transaction operation page according to first attribute information of a preset transaction image, wherein the first attribute information of the transaction image to be identified is consistent with the first attribute information of the preset transaction image;
matching the second attribute information of the transaction image to be identified with the second attribute information of the preset transaction image by using an image identification algorithm to obtain a matching result;
and under the condition that the matching results are consistent, determining the to-be-identified transaction image as a target transaction image.
2. The method of claim 1, wherein the operation information includes operation page identification information and transaction attribute information;
the generating transaction verification file information of the transaction operation page according to the operation information of the first transaction operation page includes:
and calling an application service component, and generating transaction verification file information of the transaction operation page according to the operation page identification information and the transaction attribute information.
3. The method according to claim 1 or 2, wherein the generating the transaction image to be identified corresponding to the second transaction operation page according to the first attribute information of the preset transaction image includes:
calling the interface-free browser interface to acquire first attribute information of the preset transaction image;
and executing screenshot operation on the second transaction operation page according to the first attribute information of the preset transaction image to obtain a transaction image to be identified, which corresponds to the transaction operation page.
4. The method of claim 1, further comprising:
and acquiring the operation information of the first transaction operation page.
5. The method of claim 4, wherein the obtaining operation information of the first transaction operation page comprises:
acquiring identification information of a user;
and calling a data storage component, and acquiring the operation information of the first transaction operation page corresponding to the user identification information according to the user identification information.
6. The method of claim 1, further comprising:
newly creating a preset service scene;
and determining a preset transaction image corresponding to the preset service scene according to the preset service scene, and storing first attribute information and second attribute information of the preset transaction image.
7. The method of claim 1, further comprising:
and storing the target transaction image and transaction document information corresponding to the target transaction image.
8. An image recognition apparatus comprising:
the first generation module is used for generating transaction verification file information of a transaction operation page according to the operation information of the first transaction operation page;
the restoration module is used for calling an interface-free browser interface and restoring a second transaction operation page corresponding to the transaction document information according to the transaction document information;
the second generation module is used for generating a transaction image to be identified corresponding to the second transaction operation page according to the first attribute information of the preset transaction image, wherein the first attribute information of the transaction image to be identified is consistent with the first attribute information of the preset transaction image;
the matching module is used for matching the second attribute information of the transaction image to be identified with the second attribute information of the preset transaction image by utilizing an image identification algorithm to obtain a matching result;
and the first determining module is used for determining the to-be-identified transaction image as a target transaction image under the condition that the matching results are consistent.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.
10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-7.
11. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.
CN202310402512.XA 2023-04-14 2023-04-14 Image recognition method, device, electronic equipment and readable storage medium Pending CN116310423A (en)

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Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
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Publications (1)

Publication Number Publication Date
CN116310423A true CN116310423A (en) 2023-06-23

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