Social security card image acquisition management system based on data processing

Abstract

The invention belongs to the field of social security card images, relates to a data analysis technology, and aims to solve the problems that an existing social security card image acquisition and management system cannot guarantee image quality during identity recognition and cannot find the risk that recognition cannot be performed due to depreciation of a social security card, in particular to a social security card image acquisition and management system based on data processing. Comprising an image acquisition management center, and the image acquisition management center is in communication connection with a management platform building module, an image acquisition processing module, an identity recognition confirmation module and an image management module. The management platform building module is used for building a database according to the identity information and the social security information, the image acquisition and processing module is used for acquiring and processing social security card images during identity recognition, and the identity recognition and confirmation module is used for performing identity confirmation; according to the invention, identity misjudgment caused by an image problem is reduced, and the social security card with an unrecognizable risk can be found in time.

Description

Technical Field

[0001] The invention belongs to the field of social security card images and relates to data analysis 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 the digitalization process, social security cards are playing an increasingly important role in people's daily lives; however, in the process of using social security cards, the collection and management of social security card images face a series of challenges.

[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, which 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 use of social security cards and the diversification of the use environment, social security cards may be worn out and depreciated, causing changes in image features, thereby increasing the difficulty of identity confirmation. When facing these changes, existing identity recognition technologies may have problems such as reduced recognition accuracy and misjudgment. In addition, the management of social security card images is also relatively extensive, lacking accurate assessment and analysis of the degree of image loss, and unable to promptly discover social security cards that may be at risk of being unrecognizable, and unable to take optimization measures in advance, affecting the continuity and stability of social security services.

[0005] In view of 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 problem that the existing social security card image acquisition and management system cannot screen the acquired images to ensure the image quality during identity recognition, and cannot timely discover the social security card images that are at risk of being unrecognizable due to depreciation; 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 analysis that can screen the collected images to ensure the image quality during identity recognition, and at the same time can promptly discover the risk of unrecognition caused by depreciation.

[0007] The purpose of the present invention can be achieved by the following technical solutions: The social security card image acquisition management system based on data processing is characterized by comprising an image acquisition management center, wherein the image acquisition management center is communicatively connected with a management platform building module, an image acquisition 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: using a camera module to take a photo of a completed social security card, and marking the fully photographed social security card image as a standard image; establishing an identity information database with the standard image and the identity information corresponding to the standard image, and establishing a social security information database with the social security information corresponding to the standard image; The image acquisition and processing module is used to acquire and process the social security card image when performing identity recognition: the standard acquisition time is set to 2 seconds, and several social security card images taken continuously within the standard acquisition time are marked as acquisition images i, i=1, 2...n, n is a positive integer, and the acquisition image i is pre-processed to obtain the processed image i, and the processed image i is analyzed for coincidence to obtain the recognizable image i; The identity recognition and confirmation module is used to perform identity confirmation: obtain recognizable images i and randomly select one of them as the image to be recognized, extract the text in the image to be recognized and convert it into identity information, query the standard image corresponding to the image to be recognized in the identity information database, 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.

[0008] 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.

[0009] Furthermore, the specific process of preprocessing the collected image i includes: using an edge detection algorithm to extract the contour and correct the tilt of the collected image i to obtain a corrected image i containing only the social security card surface, and performing pixel grid enlargement and grayscale transformation on the corrected image i to obtain a processed image i; dividing the processed image i into a number of 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, and summing and averaging the grayscale averages HPij of the same image area j to obtain the grayscale representation value HBj of the image area j.

[0010] Furthermore, the judgment process of the recognizable image i includes: numerically calculating the grayscale average HPij and the grayscale representation 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, then it is judged that the overlap between the processed images i meets the requirements, indicating that the quality of the acquired images i continuously captured within the standard acquisition time is qualified, and the acquired 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, then 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 and processing are performed: the acquired images i are arranged in the 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.

[0011] Furthermore, the process of acquiring 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.

[0012] 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 a number of 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 the cell comparisons are completed, a digital sequence about the cells is obtained and marked as the standard sequence; the identified image is processed in the same way The sequence to be identified is obtained by processing, the numbers at 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.

[0013] 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.

[0014] 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 use 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 use 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.

[0015] The present invention has the following beneficial effects: 1. Establish identity information database and social security information database through management platform construction modules, providing data and image basis for social security business services and management; 2. Through a series of processing and screening of the collected images by the image acquisition and processing module, the quality of the collected 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; 3. By using OCR technology to extract text to 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; 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, so that social security cards that may be at risk of being unrecognizable due to factors such as depreciation can be discovered in a timely manner, and optimization measures can be taken in advance to extend the effective use period of social security cards. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

[0017] Figure 1 A system block diagram of an embodiment of the present invention as a whole; Figure 2 Flow chart of image acquisition processing in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] 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 processing module, an identity recognition and confirmation module, and an image management module.

[0020] 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, which provides a data and image basis for the service and management of social security business.

[0021] 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; set the standard acquisition time to 2 seconds, and mark several social security card images taken continuously within the standard acquisition time as acquisition image i, i=1, 2…n, n is a positive integer, and preprocess the acquisition image i: use the edge detection algorithm to extract the contour and tilt correction of the acquisition image i to obtain the corrected image i containing only the social security card surface, and perform pixel grid magnification and grayscale transformation on the corrected image i to obtain the processed image i; divide the processed image i into several image areas j, j=1, 2…m, m is a positive integer, obtain the average grayscale value of the pixel grid in the image area j of the processed image i and mark it as the grayscale average value HPij, sum and average the grayscale average values ​​HPij of the same image area j to calculate the grayscale representation value HBj of the image area j; through the formula Obtain the grayscale coincidence value HC between the processed images i; compare the grayscale coincidence value HC with the preset grayscale coincidence 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 requirement, indicating that the quality of the acquired images i continuously captured within the standard acquisition time is qualified, and the acquired images i that meet the requirement 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 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 the 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; wherein, 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.

[0022] The identity recognition and confirmation module is used to perform identity confirmation: the recognizable images i are obtained through the acquisition and processing module, and one of them is randomly selected and marked as the image to be recognized, the text in the image to be recognized is extracted using OCR technology and converted into identity information, the social security number is searched in the identity information database to match the standard image corresponding to the social security number, and 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: The standard image is subjected to contour extraction, tilt correction, pixel grid magnification and grayscale transformation to obtain a grayscale image, which is then divided into a number of cells of the same size. The cells are numbered from left to right and from top to bottom, and the average grayscale value of each cell is obtained to obtain a grid gray representation value. The grid gray representation values ​​of all cells are summed and averaged to obtain a 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 cells is obtained and marked as a standard sequence; The image to be identified is processed in the same way to obtain a sequence to be identified, the numbers at 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, then 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, then 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.

[0023] 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 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 use 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 use 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, and optimization measures can be taken in advance to extend the effective use period of the social security card.

[0024] The social security card image acquisition and management system based on data processing, when working, builds modules through the management platform, captures 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 image of the social security card, pre-processes and analyzes the acquired image, and 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 use requirements, if not, an optimization signal is generated.

[0025] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described 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 protection scope of the present invention.

[0026] 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 technicians in this field according to actual conditions; for example: Formula ; A technician in this field collects multiple groups of sample data and sets a corresponding image loss coefficient for each group of sample data; Substitute the set image loss coefficient and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, screen the calculated coefficients and take the average, and obtain the values ​​of α1 and α2 as 3.18 and 2.24 respectively; The size of the coefficient is to quantify each parameter to obtain a specific value for 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.

[0027] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0028] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The social security card image acquisition and management system based on data processing is characterized by: It includes an image acquisition management center, which is communicatively connected to a management platform building module, an image acquisition 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: using a camera module to take a photo of a completed social security card, and marking the fully photographed social security card image as a standard image; establishing an identity information database with the standard image and the identity information corresponding to the standard image, and establishing a social security information database with the social security information corresponding to the standard image; The image acquisition and processing module is used to acquire and process the social security card image when performing identity recognition: the standard acquisition time is set to 2 seconds, and several social security card images taken continuously within the standard acquisition time are marked as acquisition images i, i=1, 2...n, n is a positive integer, and the acquisition image i is pre-processed to obtain the processed image i, and the processed image i is analyzed for coincidence to obtain the recognizable image i; The identity recognition and confirmation module is used to perform identity confirmation: obtain recognizable images i and randomly select one of them as the image to be recognized, extract the text in the image to be recognized and convert it into identity information, query the standard image corresponding to the image to be recognized in the identity information database, 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 processing according to claim 1 is 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 processing according to claim 2 is characterized in that: The specific process of preprocessing the collected image i includes: using the edge detection algorithm to extract the contour and correct the tilt of the collected image i to obtain the corrected image i containing only the social security card surface, and enlarging the pixel grid and transforming the grayscale of the corrected image i to obtain the 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, and 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.

4. The social security card image acquisition and management system based on data processing according to claim 3 is characterized in that: The judgment process of the recognizable image i includes: numerically calculating the grayscale average HPij and the grayscale representation 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 acquired images i continuously shot within the standard acquisition time is qualified, and the acquired 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 overlap between the processed images i meets the requirements. If the overlap between the two images 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 the 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.

5. The social security card image acquisition and management system based on data processing according to claim 4 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 convert 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.

6. The social security card image acquisition and management system based on data processing according to claim 5 is characterized in that: The specific process of identity verification 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 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 the cell comparisons are completed, a digital sequence about the cell is obtained and marked as the standard sequence; the image to be identified is processed in the same way to obtain For the sequence to be identified, the numbers at 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.

7. The social security card image acquisition and management system based on data processing according to claim 6 is characterized in that: 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.

8. The social security card image acquisition and management system based on data processing according to claim 7 is 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 use 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 use 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.

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