CN112508717A - Image information auditing method and device, electronic equipment and storage medium - Google Patents
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Abstract
One or more embodiments of the present disclosure provide a method, an apparatus, an electronic device, and a storage medium for auditing image information, including: respectively carrying out character recognition and face recognition on image information of information required for insuring uploaded by a terminal to obtain text information and face information corresponding to the image information; extracting text information required for insuring from the text information by using a policy model; judging whether the text information and the face information required by insuring meet preset standards by using a preset rule engine; if the text information required by insuring meets a preset standard, generating an audit report; the scheme combines front-end and back-end technologies, mainly adopts full-automatic auditing and assists manual auditing intervention, optimizes a data acquisition mode and an auditing service processing flow during operation, improves service processing flexibility and service processing timeliness, improves customer experience and improves service processing efficiency.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of information auditing technologies, and in particular, to an auditing method and apparatus for image information, an electronic device, and a storage medium.
Background
The business processing flow records information into a system through paper data scanning, insurance data scanning and the like, and relevant auditors compare the information through retrieval: in the operation, the modes of client filling and data entry are old, certain resources are consumed, the requirement on hardware equipment is high, and the client experience is influenced; the operation auditing work content is repeated, a large amount of manpower is consumed, the service processing time in the auditing process is long, and the customer experience is influenced; the data verification operation rule has high change cost, slow transmission and slow execution.
With the development of company informatization and the advance of paperless insurance application business, aiming at the manual audit node of insurance application data in business process processing, the scheme adopts the mode of combining front-end and back-end technologies, mainly carrying out full-automatic audit and assisting in manual audit intervention to optimize the whole business processing flow and improve the business processing efficiency, thereby realizing the whole flow processing, improving the customer experience and improving the business processing efficiency.
Disclosure of Invention
In view of this, one or more embodiments of the present disclosure are directed to a method and an apparatus for auditing image information, an electronic device, and a storage medium, so as to improve the efficiency of auditing information.
In view of the above, one or more embodiments of the present disclosure provide a method for auditing image information, including:
respectively carrying out character recognition and face recognition on image information of information required for insuring uploaded by a terminal to obtain text information and face information corresponding to the image information;
extracting text information required for insuring from the text information by using a policy model; judging whether the text information and the face information required by insuring meet preset standards by using a preset rule engine;
and if the text information required by the insuring meets the preset standard, generating an audit report.
Based on the same inventive concept, one or more embodiments of the present specification further provide an apparatus for auditing image information, including:
the identification module is configured to respectively perform character identification and face identification on image information of information required for insuring uploaded by a terminal to obtain text information and face information corresponding to the image information;
an extraction module configured to extract text information required for insuring from the text information by using a policy model;
the judging module is configured to judge whether the text information and the face information required by the application conform to preset standards by using a preset rule engine;
and the generating module is configured to generate an audit report if the text information required by the insurance application meets a preset standard.
Based on the same inventive concept, one or more embodiments of the present specification further provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the method as described in any one of the above items when executing the program.
Based on the same inventive concept, one or more embodiments of the present specification also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method as any one of the above.
As can be seen from the above description, one or more embodiments of the present disclosure provide a method, an apparatus, an electronic device, and a storage medium for auditing image information, including: the system comprises an identification module, an extraction module, a judgment module and a generation module, wherein the identification module is used for carrying out character recognition and face recognition on image information to obtain text information and face information corresponding to the image information, the extraction module is used for extracting text information required by insuring from the text information, then a judgment engine preset in the judgment module is used for judging the text information and the face information required by insuring, and when the standard is met, the system automatically generates a report and transmits the report to an insurant; and when the standard is not met, generating an audit report containing the failure reason, and manually auditing. According to the scheme, the characteristics of high flexibility of manual auditing and high efficiency of machine auditing are combined, so that the rapid processing of the whole process is realized, the customer experience is improved, and the service processing efficiency is improved.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort from these drawings.
Fig. 1 is a schematic flow chart of an image information auditing method according to one or more embodiments of the present disclosure;
FIG. 2 is a schematic diagram of a manual review process according to one or more embodiments of the disclosure;
fig. 3 is a schematic flow chart of an image information auditing apparatus according to one or more embodiments of the present disclosure;
FIG. 4 is a schematic diagram of an electronic device according to one or more embodiments of the present disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It is to be noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present specification should have the ordinary meaning as understood by those of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in one or more embodiments of the specification is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
As described in the background section, the conventional image information service processing and auditing are generally performed by scanning paper insurance data, the scanned information is entered into a system, relevant auditors perform information auditing by retrieving and reading the information, the mode of entering the information is old, the efficiency of service processing is low, the resource consumption is large, the image clients experience feelings, and the auditing results cannot be quickly transferred to the clients, which brings much inconvenience to the clients.
In the course of implementing the present disclosure, the applicant found, by studying the prior art, that: although the manual auditing efficiency is low, the manual auditing flexibility is high, and the automatic auditing efficiency is high, but the flexibility is lacked; in view of this, the method of combining manual review and automatic review can be used for reviewing the image information which is applied to the insurance, the characteristics of high flexibility of manual review and high efficiency of automatic review are combined for reviewing the image information, and meanwhile, the accuracy and the review efficiency are guaranteed.
In view of the problems in the prior art and based on the findings of the applicant, one or more embodiments of the present specification provide a method for auditing image information, where first, character and face recognition is performed on image information, which is uploaded by a terminal and is required for application, by an OCR recognition technology to obtain text information and face information corresponding to the image information; then, extracting text information required by insuring from the text information by using a policy model; judging whether the text information and the face information required by insuring meet preset standards by using a preset rule engine; and finally, generating an audit report when the text information required by the insuring meets a preset standard, and if the text information required by the insuring does not meet the preset standard, generating an audit failure report containing a failure reason, putting the failure report into a manual audit pool, and manually auditing. Through the scheme, manpower and material resources are greatly saved, the operation timeliness and the service processing efficiency are improved, and the customer experience is enhanced.
In view of the above problems of the prior art, the technical solutions of one or more embodiments of the present disclosure will be described in further detail with reference to specific examples.
As shown in fig. 1, one or more embodiments of the present disclosure provide a method for auditing image information, which specifically includes the following steps:
step S101, respectively carrying out character recognition and face recognition on image information of information required for insuring uploaded by a terminal to obtain text information and face information corresponding to the image information.
In this embodiment, an OCR optical character recognition technology is used to perform character recognition on the image information of the information required for insuring, so as to obtain the text information; wherein, the image information of the information required for insuring comprises: the identity card, the face photo, the bank card, the hand-written signature, the insurance risk prompt sheet and the identity information of the insured; when the insurance needs to be applied, but the applicant is far away or the operation is inconvenient, the materials required by the insurance can be prepared according to the prompt information, and when the materials required by the insurance are prepared, the materials required by the insurance can be shot by using a camera, a mobile phone or any electronic product capable of taking pictures to obtain the image information.
As an alternative embodiment, the OCR Character Recognition software is a Recognition software that directly converts characters on a picture or a photo into editable text by using an OCR (Optical Character Recognition) technology; the image information may be a photo or a screenshot containing text information, wherein the form of the photo or the screenshot may be a JPG format or a PNG format.
And S102, extracting text information required for insuring from the text information by using a policy model.
In the embodiment, in the process of insuring by an applicant, after the collection of the text information is completed, the insurance policy model is used for extracting the information of the insurance application text information provided by the applicant to obtain the text information required by the insurance application; the insurance policy model comprises standard information corresponding to the identity card of the applicant, the bank card, the handwritten signature, the insurance application risk prompt ticket and the identity information of the insured respectively; the extracting of the text information required for insuring from the text information by using the policy model specifically comprises: and matching the standard information with the text information, and extracting the text information matched with the standard information as the text information required by the insurable application.
As an optional implementation manner, the policy model further includes an insurance period limit, an insurance fee, an insurance amount and an insurance type in addition to the identity card of the applicant, the bank card, the handwritten signature, the insurance risk prompting slip and the identity information of the insured life.
And S103, judging whether the text information and the face information required by insuring meet preset standards by using a preset rule engine.
In this embodiment, the rule engine includes a comparison rule, and judges the integrity and normalization of the text information and the face information required for insuring according to the comparison rule; the comparison rule is obtained by respectively carrying out character recognition and face recognition on text information and standard face information required by standard insurance application; and when the text information required by the application meets the preset standard, the system can match the corresponding branch company name, the work number of the marketer and the date of the current day of the application for the applicant according to the requirement of the applicant.
As an optional implementation, the generating step of the rule engine specifically includes: firstly, packaging picture character recognition, face recognition and hand-written signature recognition technologies, and then respectively recognizing text information and standard face information required by standard application in a service process; wherein, the text information and the standard face information required by standard application of insurance include: the method comprises the steps of identifying images such as identity documents, face photos, bank cards, client signatures, risk statement transcription and the like, converting the images into formatted information, comparing the formatted information, namely text information and standard face information required by standard application of insurance with information actually filled in the business handling process, and simultaneously trusting a comparison rule into a rule engine, thereby finally judging whether image information is completely matched with the actually handled business information in the business handling process.
As an optional implementation manner, the rule engine compares the text information required for insuring with the face information, and may obtain whether the text information required for insuring and the face information are consistent with standard information, the score of the face recognition, and whether the required insuring material is complete, or not, there is a case that the information is incomplete.
And step S104, if the text information required for insuring meets the preset standard, generating an audit report.
In this embodiment, when the text information required for insuring does not meet the preset standard, the system automatically generates a failure report containing a failure reason, and places the failure report into a manual review task pool, where the manual review task pool contains a plurality of failure reports; the failure report is used for manual information extraction and auditing.
As an optional implementation manner, the manual review task pool reads the failure report, and classifies the failure report according to different failure reasons, which is more beneficial for management personnel to manage the failure report.
As an optional embodiment, in the present solution, when the manual review is also failed, the failure report is sent to the terminal, the policyholder queries the failure report, changes the submitted policyholder information according to the prompt of the failure report, obtains image information again, and reviews the obtained image information, where a specific manual review is shown in fig. 2.
From the above, in the method for auditing image information in one or more embodiments in this specification (or application), the image information of information required for insuring uploaded by a terminal is identified through character recognition and face recognition to obtain text information and face information, then the text information and the face information are processed to obtain text information required for insuring, and the required text information and the face information are audited to determine whether the text information and the face information meet the rules, if yes, an audit report is automatically generated by the system, and if not, manual intervention is performed; the scheme can ensure the auditing efficiency and avoid omission caused by the inflexibility of the machine in the auditing process, thereby greatly improving the service processing efficiency and improving the experience of customers.
It should be noted that the method of one or more embodiments of the present disclosure may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may perform only one or more steps of the method of one or more embodiments of the present disclosure, and the devices may interact with each other to complete the method.
It should be noted that the above description describes certain embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same inventive concept, corresponding to any of the above embodiments, one or more embodiments of the present specification further provide an apparatus for auditing image information.
Referring to fig. 3, the apparatus for checking image information includes:
the identification module 301 is configured to perform character identification and face identification on image information of information required for insuring uploaded by a terminal respectively to obtain text information and face information corresponding to the image information;
an extraction module 302 configured to extract text information required for insuring from the text information using a policy model;
a judging module 303 configured to judge whether the text information and the face information required for insuring meet a preset standard by using a preset rule engine;
the generating module 304 is configured to generate an audit report if the text information required for the application meets a preset standard.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the modules may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.
The apparatus of the foregoing embodiment is used to implement the corresponding method for auditing image information in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, corresponding to any of the above embodiments, one or more embodiments of the present specification further provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the method for auditing image information according to any of the above embodiments.
Fig. 4 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
The electronic device of the above embodiment is used to implement the corresponding method for auditing image information in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, corresponding to any of the above-described method embodiments, one or more of the present specification further provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the method for reviewing image information according to any of the above-described method embodiments.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
The computer instructions stored in the storage medium of the foregoing embodiment are used to enable the computer to execute the method for auditing image information according to any of the foregoing embodiments, and have the beneficial effects of corresponding method embodiments, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the understanding of one or more embodiments of the present description, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of one or more embodiments of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (10)
1. An image information auditing method is characterized by comprising the following steps:
respectively carrying out character recognition and face recognition on image information of information required for insuring uploaded by a terminal to obtain text information and face information corresponding to the image information;
extracting text information required for insuring from the text information by using a policy model;
judging whether the text information and the face information required by insuring meet preset standards by using a preset rule engine;
and if the text information required by the insuring meets the preset standard, generating an audit report.
2. The method according to claim 1, wherein the character recognition and the face recognition are respectively performed on the image information of the information required for insuring uploaded by the terminal to obtain text information and face information corresponding to the image information, and specifically comprises:
performing character recognition on the image information of the information required for insuring by using an OCR optical character recognition technology to obtain the text information; wherein, the image information of the information required for insuring comprises: the identity card of the applicant, the face photo, the bank card, the handwritten signature, the insurance risk prompt slip and the identity information of the insured.
3. The method according to claim 2, wherein the extracting text information required for the application from the text information using the policy model specifically comprises:
the insurance policy model comprises standard information corresponding to the identity card of the applicant, the bank card, the handwritten signature, the insurance application risk prompt ticket and the identity information of the insured respectively;
the extracting of the text information required for insuring from the text information by using the policy model specifically comprises:
and matching the standard information with the text information, and extracting the text information matched with the standard information as the text information required by the insurable application.
4. The method according to claim 1, wherein the determining whether the text information required for insuring meets a standard by using a preset rule engine specifically comprises:
the rule engine comprises a comparison rule, and the integrity and normalization of the text information and the face information required by the application are judged according to the comparison rule;
the comparison rule is obtained by respectively carrying out character recognition and face recognition on text information and standard face information required by standard insurance application.
5. The method of claim 4, further comprising:
and when the text information required by the insurance application meets the preset standard, matching the corresponding branch company name, the work number of the marketer and the insurance application date for the insurance application.
6. The method of claim 1, wherein the determining whether the text information and the face information required for the application meet preset criteria by using a preset rules engine further comprises:
if the text information required by insuring does not meet the preset standard, generating a failure report containing failure reasons, and putting the failure report into a manual auditing task pool; the failure report is used for manual information extraction and auditing.
7. The method of claim 6, further comprising:
when the manual audit fails, generating a manual audit failure report and sending the manual audit failure report to the terminal; wherein the manual review is not used with a report.
8. An apparatus for auditing image information, comprising:
the identification module is configured to respectively perform character identification and face identification on image information of information required for insuring uploaded by a terminal to obtain text information and face information corresponding to the image information;
an extraction module configured to extract text information required for insuring from the text information by using a policy model;
the judging module is configured to judge whether the text information and the face information required by the application conform to preset standards by using a preset rule engine;
and the generating module is configured to generate an audit report if the text information required by the insurance application meets a preset standard.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 7 when executing the program.
10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113283995A (en) * | 2021-05-20 | 2021-08-20 | 支付宝(杭州)信息技术有限公司 | Insurance public estimation remote access summary method, device and equipment |
| CN113869886A (en) * | 2021-11-18 | 2021-12-31 | 中国建设银行股份有限公司 | Data processing method, data processing apparatus, electronic device, medium, and computer program |
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