Social Security Card Image Acquisition and Management System Based on Data Processing

Abstract

The present invention belongs to the field of social security card images and relates to data analysis technology. It is used to solve the problem that the existing social security card image acquisition and management system cannot guarantee the image quality during identity recognition and cannot detect the risk of non-recognition due to depreciation of social security cards. Specifically, it is a social security card image acquisition and management system based on data processing, including an image acquisition management center. The image acquisition management center is communicatively connected to a management platform construction module, an image acquisition and processing module, an identity recognition and confirmation module and an image management module; the management platform construction module is used to establish a database according to identity information and social security information, the image acquisition and processing module is used to collect and process social security card images when performing identity recognition, and the identity recognition and confirmation module is used to perform identity confirmation; the present invention reduces identity misjudgment caused by image problems and can also promptly detect social security cards with non-recognition risks.

Description

Technical Field

[0001] The present invention belongs to the field of social security card images and relates to data processing technology, in particular to a social security card image acquisition and management system based on data processing. Background Art

[0002] With the continuous improvement of the social security system and the acceleration of digitalization, social security cards are playing an increasingly important role in people's daily lives. However, the collection and management of social security card images face a series of challenges during their use.

[0003] Traditional social security card image acquisition methods are often relatively simple and lack effective processing and screening mechanisms, resulting in uneven quality of the collected images. This may affect the accuracy and efficiency of subsequent identity recognition and bring inconvenience to the provision and management of social security services.

[0004] In terms of identity recognition, due to the increased frequency of social security card use and the diversification of usage environments, social security cards may experience wear and tear, depreciation, and other changes in image features, making identity verification more difficult. Existing identity recognition technologies may experience reduced recognition accuracy and misjudgments when faced with these changes. Furthermore, the management of social security card images is relatively extensive, lacking accurate assessment and analysis of image wear. This prevents timely identification of social security cards at risk of unrecognition, hindering the implementation of proactive optimization measures, and impacting the continuity and stability of social security services.

[0005] In response to the above technical problems, this application proposes a solution. Summary of the Invention

[0006] The purpose of the present invention is to provide a social security card image acquisition and management system based on data processing to solve the problems that existing social security card image acquisition and management systems are unable to screen the acquired images to ensure image quality during identity recognition, and are unable to promptly detect social security card images that are at risk of being unrecognizable due to depreciation.

[0007] The technical problem to be solved by the present invention is: how to provide a social security card image acquisition and management system based on data processing that can screen the collected images to ensure the image quality during identity recognition, and at the same time can promptly detect the risk of non-recognition due to depreciation.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] The social security card image acquisition and management system based on data processing is characterized by comprising an image acquisition management center, wherein the image acquisition management center is communicatively connected to a management platform construction module, an image acquisition and processing module, an identity recognition and confirmation module, and an image management module;

[0010] The management platform building module is used to establish a database based on identity information and social security information: a camera module is used to photograph the completed social security card, and the photographed complete social security card image is marked as a standard image; the standard image and the identity information corresponding to the standard image are used to establish an identity information database, and the social security information corresponding to the standard image is used to establish a social security information database;

[0011] The image acquisition and processing module is used to acquire and process social security card images when performing identity recognition: a standard acquisition time is set to 2 seconds, a number of social security card images taken continuously within the standard acquisition time are marked as acquired images i, i=1, 2...n, n is a positive integer, and the acquired image i is preprocessed to obtain a processed image i, and a coincidence analysis is performed on the processed image i to obtain a recognizable image i;

[0012] The identity recognition and confirmation module is used to perform identity confirmation: obtain recognizable images i and randomly select one of them to be marked as the image to be recognized, extract the text in the image to be recognized and convert it into identity information, query the identity information database for a standard image corresponding to the image to be recognized, and perform identity confirmation by comparing the similarity between the standard image and the image to be recognized;

[0013] The image management module is used to manage and analyze the social security card image: obtain the processing time BL and the number of recognition times SC of the social security card, calculate the image loss coefficient SH based on the processing time BL and the number of recognition times SC, and judge whether the depreciation loss of the social security card meets the usage requirements through the image loss coefficient SH.

[0014] Furthermore, identity information includes the cardholder's name, gender, ethnicity, photo and social security number; social security information includes the insured area, social security business records and bank card number.

[0015] Furthermore, the specific process of preprocessing the collected image i includes: using an edge detection algorithm to extract the contour of the collected image i and perform tilt correction to obtain a corrected image i containing only the social security card surface, performing pixel grid enlargement and grayscale transformation on the corrected image i to obtain a processed image i; dividing the processed image i into several image areas j, j=1,2…m, m is a positive integer, obtaining the average grayscale value of the pixel grid in the image area j of the processed image i and marking it as the grayscale average HPij, summing and averaging the grayscale average HPij of the same image area j to obtain the grayscale representation value HBj of the image area j.

[0016] Furthermore, the judgment process of the recognizable image i includes: numerically calculating the grayscale average value HPij and the grayscale performance value HBj to obtain the grayscale overlap value HC between the processed images i; comparing the grayscale overlap value HC with the preset grayscale overlap threshold HCmax: if the grayscale overlap value HC is less than or equal to the grayscale overlap threshold HCmax, it is judged that the overlap between the processed images i meets the requirements, indicating that the quality of the captured images i continuously captured within the standard acquisition time is qualified, and the captured images i that meet the requirements are marked as recognizable images i; if the grayscale overlap value HC is greater than the grayscale overlap threshold HCmax, it is judged that the processed images i meet the requirements. If the overlap between images i does not meet the requirements, it indicates that the quality of the acquired images i continuously captured within the standard acquisition time is unqualified, and further screening processing is performed: the acquired images i are arranged in chronological order of shooting time, and the grayscale overlap value HC is recalculated after the first acquired image i is eliminated. If the grayscale overlap value HC still does not meet the requirements, the second acquired image i is eliminated... and so on, until the grayscale overlap value HC meets the requirements, and the remaining acquired images i after elimination are marked as recognizable images i; if the requirements are still not met after all acquired images i are eliminated, a reshooting signal is generated and sent to the image acquisition management center.

[0017] Furthermore, the process of obtaining the standard image includes: using OCR technology to extract text in the image to be recognized and converting it into identity information, searching the social security number in the identity information database to match and obtain the standard image corresponding to the social security number.

[0018] Furthermore, the specific process of copy confirmation includes: performing contour extraction, tilt correction, pixel grid magnification and grayscale transformation on the standard image to obtain a grayscale image, dividing the grayscale image into several cells of the same size, numbering the cells from left to right and from top to bottom, obtaining the average value of the grayscale value of each cell to obtain the grid gray representation value, summing up the grid gray representation values ​​of all cells and taking the average value to calculate the gray mean, and comparing the grid gray representation value with the gray mean: if the grid gray representation value is greater than the gray mean, the cell is set to 1, otherwise it is set to 0; after all cells are compared, a digital sequence about the cell is obtained and marked as the standard sequence; the identified image is processed in the same way The sequence to be identified is obtained, the numbers at the corresponding positions of the two sequences are compared, the proportion of the number of different numbers in the total number of cells is counted and marked as the image difference coefficient TC, and the image difference coefficient TC is compared with the preset image difference threshold TCmax: if the image difference coefficient TC is less than or equal to the image difference threshold TCmax, it is judged that the difference between the standard image and the image to be identified meets the requirements, the identity confirmation is successful, and the social security information can be obtained through the social security information database; if the image difference coefficient TC is greater than the image difference threshold TCmax, it is judged that the difference between the standard image and the image to be identified does not meet the requirements, the social security card depreciation cannot confirm the identity, and the social security information cannot be obtained through the social security information database.

[0019] Furthermore, the specific method for obtaining the processing time BL is: marking the date and time of collecting the social security card image and performing identity recognition and confirmation as the current timestamp, and marking the date and time of applying for the social security card and establishing the identity information database as the standard timestamp; calculating the difference between the current timestamp and the standard timestamp to obtain the processing time BL; the specific method for obtaining the number of recognition times SC is: each time the social security card image is collected and the identity recognition and confirmation is performed, the value of the number of recognition times SC is increased by 1, and the number of recognition times SC is saved in the identity information database.

[0020] Furthermore, the processing time BL, recognition times SC and image difference coefficient TC of the social security card are numerically calculated to obtain the image loss coefficient SH; the image loss coefficient SH is compared with the preset image loss threshold SHmax: if the image loss coefficient SH is less than or equal to the image loss threshold SHmax, it is judged that the depreciation loss of the social security card meets the usage requirements and no processing is required; if the image loss coefficient SH is greater than the image loss threshold SHmax, it is judged that the depreciation loss of the social security card does not meet the usage requirements and there is a risk of unrecognition, an optimization signal is generated and sent to the image acquisition management center, and corresponding measures are taken for optimization.

[0021] The present invention has the following beneficial effects:

[0022] Establish identity information database and social security information database through management platform construction modules, providing data and image foundation for social security business services and management;

[0023] The image acquisition and processing module processes and filters the captured images to ensure the quality of the captured social security card images. This provides a clear and accurate image foundation for subsequent identity recognition and management, reduces repeated operations and service delays caused by image problems and identity misjudgment, and improves the overall efficiency of social security services.

[0024] By using OCR technology to extract text and obtain identity information, the standard image corresponding to the identity information is further compared and analyzed with the image to be identified, which improves the accuracy of identity recognition and reduces the risk of misjudgment.

[0025] 4. Through the image management module, a comprehensive analysis of the processing time, recognition times and image differences of social security cards can be conducted to promptly identify social security cards that may be at risk of being unrecognizable due to factors such as depreciation, and optimization measures can be taken in advance to extend the effective use period of social security cards. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 A system block diagram of an embodiment of the present invention as a whole;

[0028] Figure 2 Flowchart of image acquisition processing in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0030] The social security card image and identity information collection involved in this invention is based on the authorization information provided by the cardholder during the legal processing of social security services. The data collection process strictly complies with relevant laws, regulations, and data protection requirements. The system solution of this invention is only applicable to legally authorized social security card usage scenarios and does not involve any unauthorized or illegally obtained social security card information. The data collection, processing, and analysis mentioned in the embodiments of this invention are limited to data within the scope of legal regulations.

[0031] like Figure 1-2 As shown, the social security card image acquisition and management system based on data processing includes an image acquisition management center, which is communicatively connected to a management platform building module, an image acquisition and processing module, an identity recognition and confirmation module, and an image management module.

[0032] The management platform construction module is used to establish a database based on identity information and social security information: when applying for a social security card, a camera module is used to photograph the completed social security card, and the complete social security card image is marked as a standard image; an identity information database is established using the standard image and the identity information corresponding to the standard image, and the identity information includes the cardholder's name, gender, ethnicity, photo and social security number; a social security information database is established using the social security information corresponding to the standard image, and the social security information includes the insured area, social security business records and bank card number; an identity information database and a social security information database are established through the management platform construction module, providing a data and image basis for the service and management of social security business.

[0033] The image acquisition and processing module is used to acquire and process the social security card image when performing identity recognition: when using the social security card for information recognition, it is necessary to use a camera module to capture and acquire the social security card image; the standard acquisition time is set to 2 seconds, and several social security card images captured continuously within the standard acquisition time are marked as acquired image i, i=1, 2…n, n is a positive integer, and the acquired image i is preprocessed: the edge detection algorithm is used to perform contour extraction and tilt correction on the acquired image i to obtain a corrected image i containing only the social security card surface, and the corrected image i is pixel-enlarged and grayscale transformed to obtain a processed image i; the processed image i is divided into several image regions j, j=1, 2…m, m is a positive integer, the average grayscale value of the pixel grid in the image region j of the processed image i is obtained and marked as the grayscale average HPij, the grayscale average HPij of the same image region j is summed and averaged to obtain the grayscale representation value HBj of the image region j; the formula Obtain the grayscale overlap value HC between the processed images i; compare the grayscale overlap value HC with the preset grayscale overlap threshold HCmax:

[0034] If the grayscale overlap value HC is less than or equal to the grayscale overlap threshold HCmax, it is determined that the overlap between the processed images i meets the requirements, indicating that the quality of the captured images i continuously captured within the standard acquisition time is qualified, and the captured images i that meet the requirements are marked as recognizable images i;

[0035] If the grayscale overlap value HC is greater than the grayscale overlap threshold HCmax, it is determined that the overlap between the processed images i does not meet the requirements, indicating that the quality of the acquired images i continuously captured within the standard acquisition time is unqualified, and further screening processing is performed: the acquired images i are arranged in chronological order of shooting time, and the grayscale overlap value HC is recalculated after the first acquired image i is eliminated. If the grayscale overlap value HC still does not meet the requirements, the second acquired image i is eliminated... and so on, until the grayscale overlap value HC meets the requirements, and the remaining acquired images i after elimination are marked as recognizable images i; among them, if the acquired images i still do not meet the requirements after all are eliminated, a reshooting signal is generated and sent to the image acquisition management center; through a series of processing and screening of the acquired images by the image acquisition processing module, the quality of the acquired social security card images is ensured to be qualified, providing a clear and accurate image basis for subsequent identity recognition and management, reducing repeated operations and service delays caused by image problems and identity misjudgment, and improving the overall efficiency of social security services.

[0036] The identity recognition and confirmation module is used to perform identity confirmation: the acquisition and processing module obtains recognizable images i, and randomly selects one of them as the image to be recognized. The optical character recognition (OCR) technology is used to extract the text in the image to be recognized and convert it into identity information. The social security number is searched in the identity information database to obtain a standard image corresponding to the social security number. The identity is confirmed by comparing the similarity between the standard image and the image to be recognized. The specific process of identity confirmation includes:

[0037] The standard image is subjected to contour extraction, tilt correction, pixel grid magnification, and grayscale transformation to obtain a grayscale image. The grayscale image is then divided into several cells of the same size. The cells are numbered from left to right and from top to bottom. The average grayscale value of each cell is obtained to obtain the grid gray representation value. The grid gray representation value of all cells is summed and averaged to obtain the gray mean value. The grid gray representation value is then compared with the gray mean value: if the grid gray representation value is greater than the gray mean value, the cell is set to 1, otherwise it is set to 0. After all cells are compared, a numerical sequence of cells is obtained and marked as the standard sequence.

[0038] The image to be identified is processed in the same way to obtain a sequence to be identified, and the numbers at corresponding positions of the two sequences are compared. The ratio of the number of different numbers to the total number of cells is counted and marked as the image difference coefficient TC, and the image difference coefficient TC is compared with the preset image difference threshold TCmax: if the image difference coefficient TC is less than or equal to the image difference threshold TCmax, it is judged that the difference between the standard image and the image to be identified meets the requirements, the identity confirmation is successful, and the social security information can be obtained through the social security information database; if the image difference coefficient TC is greater than the image difference threshold TCmax, it is judged that the difference between the standard image and the image to be identified does not meet the requirements, the social security card depreciation cannot confirm the identity, and the social security information cannot be obtained through the social security information database; the identity information is obtained by extracting text using OCR technology, and the standard image corresponding to the identity information is further compared and analyzed with the image to be identified, thereby improving the accuracy of identity recognition and reducing the risk of misjudgment.

[0039] The image management module is used to manage and analyze the social security card image: obtain the processing time BL and the number of recognition times SC of the social security card; the specific method for obtaining the processing time BL is: mark the date and time of collecting the social security card image and performing identity recognition and confirmation as the current timestamp, and mark the date and time of processing the social security card and establishing the identity information database as the standard timestamp; calculate the difference between the current timestamp and the standard timestamp to obtain the processing time BL; the specific method for obtaining the number of recognition times SC is: each time the social security card image is collected and the identity is recognized and confirmed, the value of the number of recognition times SC is increased by 1, and the number of recognition times SC is saved in the identity information database; through the formula The processing time BL, recognition times SC and image difference coefficient TC of the social security card are numerically calculated to obtain the image loss coefficient SH, where α1 and α2 are both proportional coefficients; the image loss coefficient SH is compared with the preset image loss threshold SHmax: if the image loss coefficient SH is less than or equal to the image loss threshold SHmax, it is judged that the depreciation loss of the social security card meets the usage requirements and no processing is required; if the image loss coefficient SH is greater than the image loss threshold SHmax, it is judged that the depreciation loss of the social security card does not meet the usage requirements and there is a risk of unrecognition, an optimization signal is generated and sent to the image acquisition management center, and corresponding measures are taken for optimization; through the image management module, a comprehensive analysis of the processing time, recognition times and image differences of the social security card is performed, so that social security cards that may be at risk of unrecognition due to factors such as depreciation can be discovered in a timely manner, optimization measures can be taken in advance, and the effective use cycle of the social security card can be extended.

[0040] The social security card image acquisition and management system based on data processing, when working, builds a module through the management platform, takes the social security card image as the standard image when applying for the social security card, and establishes a database containing identity information and social security information; when performing identity recognition, uses the camera module to capture and acquire the social security card image, and pre-processes and analyzes the acquired image. If the acquired image quality is qualified, it is marked as a recognizable image. If it is unqualified, it is screened and processed until it meets the requirements, otherwise a re-shooting signal is generated; the identity recognition confirmation module obtains the recognizable image from the acquisition and processing module, uses OCR technology to extract text and convert it into identity information, and compares the similarity with the standard image in the identity information database to confirm the identity; finally, the image management module manages and analyzes the social security card image, calculates the image loss coefficient, and determines whether the depreciation loss of the social security card meets the usage requirements. If not, an optimization signal is generated.

[0041] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

[0042] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by those skilled in the art according to the actual situation; for example: A skilled person in the art collects multiple sets of sample data and sets a corresponding image loss coefficient for each set of sample data; the set image loss coefficient and the collected sample data are substituted into a formula, and any three formulas form a three-variable linear equation system. The calculated coefficients are screened and averaged, and the values ​​of α1 and α2 are obtained as 3.18 and 2.24, respectively;

[0043] The size of the coefficient is to quantify each parameter to obtain a specific numerical value for the convenience of subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding image loss coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the image loss coefficient is proportional to the value of the image difference coefficient.

[0044] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0045] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A social security card image acquisition and management system based on data analysis, characterized in that: It includes an image acquisition management center, which is communicatively connected to a management platform building module, an image acquisition and processing module, an identity recognition and confirmation module, and an image management module; The management platform building module is used to establish a database based on identity information and social security information: a camera module is used to photograph the completed social security card, and the photographed complete social security card image is marked as a standard image; the standard image and the identity information corresponding to the standard image are used to establish an identity information database, and the social security information corresponding to the standard image is used to establish a social security information database; The image acquisition and processing module is used to acquire and process social security card images when performing identity recognition: a number of continuously photographed social security card images are marked as acquired images i, i=1, 2...n, n is a positive integer, and the acquired images i are pre-processed to obtain processed images i; Divide the processed image i into several image regions j, j = 1, 2…m, m is a positive integer, obtain the average grayscale value of the pixel grid in the image region j of the processed image i and mark it as the grayscale average value HP ij , the grayscale average HP of the same image area j of n processed images i ij The grayscale representation value HB of image region j is calculated by summing and averaging. j ; By formula Calculate the grayscale overlap value HC between the processed images i; compare the grayscale overlap value HC with a preset grayscale overlap threshold HCmax: if the grayscale overlap value HC is less than or equal to the grayscale overlap threshold HCmax, then determine that the overlap between the processed images i meets the requirement, and mark the collected image i that meets the requirement as a recognizable image i; if the grayscale overlap value HC is greater than the grayscale overlap threshold HCmax, then determine that the overlap between the processed images i does not meet the requirement, and perform further screening processing: arrange the collected images i in chronological order of shooting time, remove the first collected image i and recalculate the grayscale overlap value HC; if the grayscale overlap value HC still does not meet the requirement, continue to remove the second collected image i, and so on, until the grayscale overlap value HC meets the requirement, and mark the remaining collected images i after removal as recognizable images i; The identity recognition and confirmation module is used to perform identity confirmation: obtain recognizable images i and randomly select one of them to be marked as the image to be recognized, extract the text in the image to be recognized and convert it into identity information, query the identity information database for a standard image corresponding to the image to be recognized, and perform identity confirmation by comparing the similarity between the standard image and the image to be recognized; The image management module is used to manage and analyze the social security card image: obtain the processing time BL and the number of recognition times SC of the social security card, calculate the image loss coefficient SH based on the processing time BL and the number of recognition times SC, and judge whether the depreciation loss of the social security card meets the usage requirements through the image loss coefficient SH.

2. The social security card image acquisition and management system based on data analysis according to claim 1, characterized in that: Identity information includes the cardholder's name, gender, ethnicity, photo and social security number; social security information includes the insured area, social security business records and bank card number.

3. The social security card image acquisition and management system based on data analysis according to claim 2 is characterized in that: The process of obtaining the standard image includes: using OCR technology to extract the text in the image to be recognized and converting it into identity information, searching the social security number in the identity information database to match and obtain the standard image corresponding to the social security number.

4. The social security card image acquisition and management system based on data analysis according to claim 3 is characterized in that: The specific process of identity confirmation includes: performing contour extraction, tilt correction, pixel grid magnification and grayscale transformation on the standard image to obtain a grayscale image, dividing the grayscale image into several cells of the same size, and numbering the cells from left to right and from top to bottom. The average value of the grayscale value of each cell is obtained to obtain the grid gray representation value, and the grid gray representation value of all cells is summed up and averaged to obtain the gray mean value, and the grid gray representation value is compared with the gray mean value: if the grid gray representation value is greater than the gray mean value, the cell is set to 1, otherwise it is set to 0; after all cells are compared, a digital sequence about the cell is obtained and marked as the standard sequence; the identification image is processed in the same way To the sequence to be identified, the numbers at the corresponding positions of the two sequences are compared, the proportion of the number of different numbers to the total number of cells is counted and marked as the image difference coefficient TC, and the image difference coefficient TC is compared with the preset image difference threshold TCmax: if the image difference coefficient TC is less than or equal to the image difference threshold TCmax, it is judged that the difference between the standard image and the image to be identified meets the requirements, the identity confirmation is successful, and the social security information can be obtained through the social security information database; if the image difference coefficient TC is greater than the image difference threshold TCmax, it is judged that the difference between the standard image and the image to be identified does not meet the requirements, the social security card depreciation cannot confirm the identity, and the social security information cannot be obtained through the social security information database.

5. The social security card image acquisition and management system based on data analysis according to claim 4 is characterized in that: The specific method for obtaining the processing time BL is: mark the date and time of collecting the social security card image and performing identity recognition and confirmation as the current timestamp, and mark the date and time of applying for the social security card and establishing the identity information database as the standard timestamp; calculate the difference between the current timestamp and the standard timestamp to obtain the processing time BL; the specific method for obtaining the number of recognition times SC is: each time the social security card image is collected and the identity recognition and confirmation is performed, the value of the number of recognition times SC is increased by 1, and the number of recognition times SC is saved in the identity information database.

6. The social security card image acquisition and management system based on data analysis according to claim 5, characterized in that: The processing time BL, recognition times SC and image difference coefficient TC of the social security card are numerically calculated to obtain the image loss coefficient SH; the image loss coefficient SH is compared with the preset image loss threshold SHmax: if the image loss coefficient SH is less than or equal to the image loss threshold SHmax, it is judged that the depreciation loss of the social security card meets the usage requirements and no processing is required; if the image loss coefficient SH is greater than the image loss threshold SHmax, it is judged that the depreciation loss of the social security card does not meet the usage requirements and there is a risk of unrecognition, an optimization signal is generated and sent to the image acquisition management center, and corresponding measures are taken for optimization.

Images