CN114399262A - Personal social security data analysis system based on artificial intelligence - Google Patents

Personal social security data analysis system based on artificial intelligence Download PDF

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CN114399262A
CN114399262A CN202111470559.7A CN202111470559A CN114399262A CN 114399262 A CN114399262 A CN 114399262A CN 202111470559 A CN202111470559 A CN 202111470559A CN 114399262 A CN114399262 A CN 114399262A
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王为光
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Abstract

The invention provides an artificial intelligence-based personal social security data analysis system, which comprises a user information acquisition module, an analysis authentication module and a service handling module, wherein the user information acquisition module is used for acquiring user information; the system comprises a user information acquisition module, a social security service processing module and a social security service processing module, wherein the user information acquisition module is used for acquiring basic user information required by social security service handling; the analysis authentication module is used for calling the identity information reserved with the user from the administration system according to the acquired basic information of the user; analyzing and verifying the acquired user basic information and the reserved identity information to obtain a user identity verification result; and the service transaction module is used for transacting and finishing the transaction of the social security service according to the acquired basic information of the user after the user identity authentication is passed. The invention realizes the electronic informatization transaction of the social security service in the whole data interaction and processing process of the analysis system, can perform online transaction aiming at the social security service applied by personal user social security card application or online social security account number, is beneficial to simplifying the transaction process of the social security service, and is convenient for users to use.

Description

Personal social security data analysis system based on artificial intelligence
Technical Field
The invention relates to the technical field of social security systems, in particular to a personal social security data analysis system based on artificial intelligence.
Background
The social security card is an important component for social security services in the life of residents. At present, the handling of the resident personal social security service (for example, applying for a social security card, opening an online social security account, etc.) requires that a user personally goes to a related business department for handling, wherein in the handling process, the user needs to submit paper materials to the business department, the business department manually checks the received materials, and uniformly submits the materials to a government department after manual checking, and then the government department uniformly handles or sends the card; in the process, the user easily fails to take the paper materials, or when the materials are not approved, the user needs to run back and forth to the business department for queuing, so that the user needs to consume a large amount of time and energy, and the requirement for building the social security business handling system cannot be met.
Disclosure of Invention
Aiming at the technical problem that the social security service is inconvenient to handle, the invention aims to provide an artificial intelligence-based personal social security data analysis system.
The purpose of the invention is realized by adopting the following technical scheme:
the invention discloses an artificial intelligence-based personal social security data analysis system, which comprises a user information acquisition module, an analysis authentication module and a business handling module; wherein the content of the first and second substances,
the user information acquisition module is used for acquiring basic user information required by social security service handling, wherein the basic user information comprises names, sexes, identity card numbers, identity card pictures, contact phones, addresses, user face pictures and the like;
the analysis authentication module is used for calling the identity information reserved with the user from the administration system according to the acquired basic information of the user; analyzing and verifying the acquired user basic information and the reserved identity information to obtain a user identity verification result;
and the service transaction module is used for completing the transaction of the social security service according to the acquired basic information of the user after the user identity authentication is passed.
In one embodiment, the user information acquisition module comprises a text acquisition unit and a shooting unit; wherein the content of the first and second substances,
the text acquisition unit is used for acquiring text information input by a user;
the image acquisition unit is used for receiving an image picture transmitted by a user and extracting corresponding basic information of the user according to the acquired image picture, wherein the image picture comprises an identity card picture or a face picture of the user.
In one embodiment, the image acquisition unit further comprises a picture enhancement unit and an identification unit;
the image enhancement unit is used for enhancing the received image picture to obtain an enhanced image picture;
the identity recognition unit is used for performing text recognition on the enhanced identity card picture to acquire the basic user information contained in the identity card picture;
the face recognition unit is used for extracting the enhanced user face image to obtain user face image information.
In one embodiment, the analysis authentication module comprises a calling unit and an analysis verification unit;
the calling unit is used for searching and calling the identity information reserved by the user from the administration system according to the acquired basic information of the user;
the analysis and verification unit is used for carrying out analysis and verification according to the acquired user basic information and the reserved identity information to obtain a user identity verification result.
In one embodiment, the analysis and verification unit comprises a basic information verification unit and a face information verification unit;
the basic information verification unit is used for comparing the acquired basic information of the user with the reserved identity information to obtain an identity information comparison result;
the face information verification unit is used for carrying out feature comparison analysis processing on the acquired user face image information and the reserved user face image based on an artificial intelligent face image recognition engine to obtain a face information comparison result;
and when the identity information comparison result and the face information comparison result are both passed, outputting the user identity verification result as passed.
In one embodiment, the business handling module comprises a social security card applying unit and an online social security account applying unit;
the social security card claiming unit is used for generating social security card data according to the acquired basic information of the user and manufacturing a social security card corresponding to the user according to the social security card data;
and the online social security account application unit is used for establishing an online social security account according to the acquired user basic information and perfecting the related information of the online social security account according to the acquired user basic information.
The invention has the beneficial effects that: the user selects social security service to be transacted, the user information acquisition module acquires user basic information required by the social security service, the acquired user basic information is transmitted to the analysis and authentication module, the analysis and authentication module calls reserved identity information corresponding to the user from an external government system according to the acquired user basic information, and analysis and verification are performed according to the acquired user basic information and the reserved identity information to complete user identity verification; after the identity of the user passes, the business handling module finishes the social security business handling required by the user according to the acquired basic information of the user, the electronic informatization handling of the social security business is realized based on the whole data interaction and processing process of the analysis system, the online handling can be carried out on the social security business applied by the personal social security card or the online social security account number, the simplification of the social security business handling process is facilitated, and the use by the user is facilitated.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of an embodiment of an artificial intelligence-based personal social security data analysis system according to the present invention.
Reference numerals:
1-a user information acquisition module, 2-an analysis and authentication module and 3-a service handling module.
Detailed Description
The invention is further described in connection with the following application scenarios.
Referring to fig. 1, the embodiment of the invention shows an artificial intelligence-based personal social security data analysis system, which includes a user information acquisition module 1, an analysis authentication module 2 and a business handling module 3; wherein the content of the first and second substances,
the user information acquisition module 1 is used for acquiring basic user information required by handling social security business, wherein the basic user information comprises names, sexes, identity card numbers, identity card pictures, contact phones, addresses, user face pictures and the like;
the analysis authentication module 2 is used for calling the identity information reserved with the user from the administration system according to the acquired basic information of the user; analyzing and verifying the acquired user basic information and the reserved identity information to obtain a user identity verification result;
and the service transaction module 3 is used for completing the transaction of the social security service according to the acquired basic information of the user after the user identity authentication is passed.
In the embodiment of the invention, a user selects social security service to be transacted, the user information acquisition module 1 acquires the basic user information required by the social security service, the acquired basic user information is transmitted to the analysis and authentication module 2, the analysis and authentication module 2 calls the reserved identity information corresponding to the user from the external government system according to the acquired basic user information, and the analysis and authentication are carried out according to the acquired basic user information and the reserved identity information to complete the user identity authentication; after the identity of the user passes, the business handling module 3 finishes the social security business handling required by the user according to the acquired basic information of the user, the electronic informatization handling of the social security business is realized based on the whole data interaction and processing process of the analysis system, the online handling can be carried out on the social security business applied by the personal social security card or the online social security account number, the simplification of the social security business handling process is facilitated, and the use by the user is facilitated.
In one scenario, the analysis system provided above can be set in an existing social security service handling system, or can be an independent data analysis system, or can be set up depending on an existing service handling system, so as to meet the use requirements in different service scenarios, and is not specifically limited herein.
In one embodiment, the system further comprises a service acquisition module;
the service acquisition module is used for acquiring social security service information, wherein the social security service information can be social security service information needing to be transacted according to the selection of a user, and can also be a social security service transaction request sent by a user terminal.
In one embodiment, the user information acquisition module 1 comprises a text acquisition unit and a shooting unit; wherein the content of the first and second substances,
the text acquisition unit is used for acquiring text information input by a user;
the image acquisition unit is used for receiving an image picture transmitted by a user and extracting corresponding basic information of the user according to the acquired image picture, wherein the image picture comprises an identity card picture or a face picture of the user.
The obtained basic information of the user comprises text information, such as name, sex, identification number, contact telephone, address and other basic information filled by the user; the image information also includes image information, such as the front and back images of the identity card taken by the user, and the image of the face of the user obtained in real time.
In one embodiment, the image acquisition unit further comprises a picture enhancement unit and an identification unit;
the image enhancement unit is used for enhancing the received image picture to obtain an enhanced image picture;
the identity recognition unit is used for performing text recognition on the enhanced identity card picture to acquire the basic user information contained in the identity card picture;
the face recognition unit is used for extracting the enhanced user face image to obtain user face image information.
The image acquisition unit is provided with an image enhancement unit for enhancing the acquired image, so that the quality of the image is improved, the system can subsequently acquire corresponding text information according to the acquired image, or basic information or user identity authentication is performed according to the acquired image, the image information processing effect can be improved, on one hand, the adaptability of the system can be improved, and on the other hand, the situation that the image quality is poor due to the fact that the image uploaded by a user or the image acquired in real time is interfered in the acquisition or transmission process can be avoided.
In one embodiment, the image enhancement unit performs enhancement processing on a received image picture, and specifically includes:
enhancing the received user face picture, and detecting a face area according to the acquired user face picture to obtain a foreground area part and a background area part of the user face picture;
carrying out foreground enhancement processing on the obtained foreground area part and the obtained background area part, wherein the foreground enhancement processing comprises the following steps:
converting the user face picture from an RGB color space to a gray scale space, and acquiring a gray scale component of the user face picture;
and performing enhancement processing on the obtained foreground area part, wherein the adopted enhancement processing function is as follows:
Figure BDA0003391849280000041
s.t.(x,y)∈Af
wherein (x, y) represents a part A belonging to the foreground regionfH' (x, y) represents the gray value of the enhanced pixel point (x, y), and h (x, y) represents the gray value of the pixel point (x, y) of the user face picture; h isy-fRepresenting the set optimal gray standard value of the foreground area part,
Figure BDA0003391849280000042
representing the average gray value of the foreground region part in the user face picture,
Figure BDA0003391849280000043
representing the average gray value of a background area part in a user face picture, wherein alpha represents a set area adjusting factor;
and performing enhancement processing on the acquired background area part, wherein the adopted enhancement processing function is as follows:
Figure BDA0003391849280000051
s.t.(x,y)∈Ab
wherein (x, y) represents a part belonging to the background region AfH' (x, y) represents the gray value of the enhanced pixel point (x, y), and h (x, y) represents the gray value of the pixel point (x, y) of the user face picture; h isy-bRepresents the best gray standard value of the set background area part,
Figure BDA0003391849280000052
representing the average gray value of a foreground region part in the user face picture, d (x, y) representing the distance between a pixel point (x, y) and the picture edge, wherein d (x, y) is min (x, L-x) + min (y, H-y), wherein L and H respectively represent the long and high pixel point sizes of the user face picture,
Figure BDA0003391849280000053
representing the distance of the foreground region part from the edge of the picture, wherein
Figure BDA0003391849280000054
Figure BDA0003391849280000055
Representing the position of the central pixel point of the foreground area part;
Figure BDA0003391849280000056
representing the average gray value of the foreground region part in the user face picture,
respectively carrying out enhancement processing on the foreground area part and the background area part to obtain a user face picture after first enhancement processing;
further performing 1-layer wavelet decomposition processing on the basis of the acquired user face picture after the first enhancement processing to obtain a high-frequency wavelet coefficient and a low-frequency wavelet coefficient of the user face picture after the first enhancement processing;
carrying out filtering and denoising processing on the obtained high-frequency wavelet coefficient, wherein the adopted filtering and denoising function is as follows:
Figure BDA0003391849280000057
in the formula, w' (k) represents the kth high-frequency wavelet coefficient after filtering and denoising, w (k) represents the kth high-frequency wavelet coefficient obtained by wavelet decomposition, Z represents a set threshold, and β represents a set filtering and denoising factor;
and reconstructing according to the high-frequency wavelet coefficient after filtering and denoising and the low-frequency wavelet coefficient obtained by wavelet decomposition to obtain a user face picture after enhancement processing.
In a preferred embodiment, the set optimal gray standard value h of the foreground region party-f170; setting the optimum gray standard value h of the background area party-b150; the regional regulatory factor α is 10; the filtering denoising factor beta is 2; set threshold value
Figure BDA0003391849280000058
L represents the length of the high frequency wavelet coefficients.
The method aims at the situation that in the existing social security handling system, in the process of identifying the identity of a user face image acquired in real time, the acquired user face image brightness does not reach the standard or the image is distorted due to the fact that the image data acquisition environment is easily influenced. In the above embodiment, a technical scheme is provided for performing enhancement processing specifically for a user face picture, and after a system acquires the user face picture, the system can adaptively divide the received user face picture into a foreground region part representing a user face region and a background region part representing a background according to the received user face picture, and perform image enhancement processing based on a gray scale space for the foreground region part and the background region part respectively, where enhancement processing functions for the foreground region part and the background region part are provided specifically, so that a display effect of the foreground region part can be highlighted, and image quality is improved; meanwhile, a filtering and denoising technical scheme based on wavelet decomposition is further provided, noise interference received in the two pictures of the user is further removed, the display effect of the pictures is further improved, and a foundation is laid for further identity recognition of the user face pictures which are obtained very subsequently.
In one embodiment, the analysis authentication module 2 includes a calling unit and an analysis verification unit;
the calling unit is used for searching and calling the identity information reserved by the user from the administration system according to the acquired basic information of the user;
the analysis and verification unit is used for carrying out analysis and verification according to the acquired user basic information and the reserved identity information to obtain a user identity verification result.
In one embodiment, the analysis and verification unit comprises a basic information verification unit and a face information verification unit;
the basic information verification unit is used for comparing the acquired basic information of the user with the reserved identity information to obtain an identity information comparison result;
the face information verification unit is used for carrying out feature comparison analysis processing on the acquired user face image information and the reserved user face image based on an artificial intelligent face image recognition engine to obtain a face information comparison result;
and when the identity information comparison result and the face information comparison result are both passed, outputting the user identity verification result as passed.
The artificial intelligence-based face image recognition engine can compare a face image of a user with a face image of the user reserved by a specified user, which is acquired from a government system according to user identity information, extract feature information of the two images according to an AI (artificial intelligence) image algorithm, compare and verify the two images according to the acquired feature information, output similarity and matching degree between the two images, and judge that a face information comparison result is passed when the matching degree exceeds a set threshold standard. The human face image recognition engine based on artificial intelligence processes the image information, has high accuracy and can meet the requirement of verifying the human face information of the user.
In one embodiment, the service handling module 3 comprises a social security card applying unit and an online social security account applying unit;
the social security card claiming unit is used for generating social security card data according to the acquired basic information of the user and manufacturing a social security card corresponding to the user according to the social security card data;
and the online social security account application unit is used for establishing an online social security account according to the acquired user basic information and perfecting the related information of the online social security account according to the acquired user basic information.
The service handling module 3 can also set different function modules according to actual service scenes to meet the requirements of different social security service handling scenes, and has strong expansibility.
It should be noted that, functional units/modules in the embodiments of the present invention may be integrated into one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules are integrated into one unit/module. The integrated units/modules may be implemented in the form of hardware, or may be implemented in the form of software functional units/modules.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the procedures of an embodiment may be performed by a computer program instructing associated hardware. In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be analyzed by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (6)

1. A personal social security data analysis system based on artificial intelligence is characterized by comprising a user information acquisition module, an analysis authentication module and a business handling module; wherein the content of the first and second substances,
the user information acquisition module is used for acquiring basic user information required by social security service handling, wherein the basic user information comprises names, sexes, identity card numbers, identity card pictures, contact phones, addresses and user face pictures;
the analysis authentication module is used for calling the identity information reserved with the user from the administration system according to the acquired basic information of the user; analyzing and verifying the acquired user basic information and the reserved identity information to obtain a user identity verification result;
and the service transaction module is used for completing the transaction of the social security service according to the acquired basic information of the user after the user identity authentication is passed.
2. The personal social security data analysis system based on artificial intelligence as claimed in claim 1, wherein the user information collecting module includes a text acquiring unit and a photographing unit; wherein the content of the first and second substances,
the text acquisition unit is used for acquiring text information input by a user;
the image acquisition unit is used for receiving an image picture transmitted by a user and extracting corresponding basic information of the user according to the acquired image picture, wherein the image picture comprises an identity card picture or a face picture of the user.
3. The personal social security data analysis system based on artificial intelligence as claimed in claim 2, wherein the image obtaining unit further comprises a picture enhancing unit and a recognition unit;
the image enhancement unit is used for enhancing the received image picture to obtain an enhanced image picture;
the identity recognition unit is used for performing text recognition on the enhanced identity card picture to acquire the basic user information contained in the identity card picture;
the face recognition unit is used for extracting the enhanced user face image to obtain user face image information.
4. The personal social security data analysis system based on artificial intelligence as claimed in claim 3, wherein the analysis authentication module comprises a retrieving unit and an analysis verifying unit;
the calling unit is used for searching and calling the identity information reserved by the user from the administration system according to the acquired basic information of the user;
the analysis and verification unit is used for carrying out analysis and verification according to the acquired user basic information and the reserved identity information to obtain a user identity verification result.
5. The personal social security data analysis system based on artificial intelligence as claimed in claim 4, wherein the analysis verification unit includes a basic information verification unit and a face information verification unit;
the basic information verification unit is used for comparing the acquired basic information of the user with the reserved identity information to obtain an identity information comparison result;
the face information verification unit is used for carrying out feature comparison analysis processing on the acquired user face image information and the reserved user face image based on an artificial intelligent face image recognition engine to obtain a face information comparison result;
and when the identity information comparison result and the face information comparison result are both passed, outputting the user identity verification result as passed.
6. The personal social security data analysis system based on artificial intelligence as claimed in claim 5, wherein the business handling module includes a social security card applying unit and an online social security account applying unit;
the social security card claiming unit is used for generating social security card data according to the acquired basic information of the user and manufacturing a social security card corresponding to the user according to the social security card data;
and the online social security account application unit is used for establishing an online social security account according to the acquired user basic information and perfecting the related information of the online social security account according to the acquired user basic information.
CN202111470559.7A 2021-12-03 2021-12-03 Personal social security data analysis system based on artificial intelligence Withdrawn CN114399262A (en)

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Application publication date: 20220426