Whole-journey identity verification method and system for driving examinee based on face identification

Abstract

The invention provides a whole-journey identity verification method and system for a driving examinee based on face identification. The whole-journey identity verification problem of the driving examinee in a testing or training process can be solved. The whole-journey identity verification method comprises the following steps of: sending and storing sign-up record information and face characteristic information of the examinee in an identification system, so that a driving examinee management system in a public security traffic department carries out real-time management and whole-journey identity monitoring on the information of the driving examinee, which passes check; and judging whether the examinee identity is legal or not by comparing and verifying a face image of the examinee, which is captured by an identifying system in real time with the stored face characteristic information. The verification system comprises a face image collecting part, a video processing part, an identification calculation module and a CPU (Central Processing Unit). The whole-journey identity verification method and system for the driving examinee based on face identification provided by the invention can be used for carrying out the real-time whole-journey identity monitoring on the examinee, so that the quantity of test supervisors is reduced or the test supervisors can be cancelled. With the adoption of the whole-journey identity verification method and system for the driving examinee based on face identification provided by the invention, the identity authorization and the whole-journey identity monitoring of the examinee can be carried out when a training vehicle in a driving school has a class or is used for training on a road, and the actual identity authorization and the whole-journey identity monitoring of the examinee of a test vehicle in a test field can be realized.

Description

technical field [0001] The invention relates to the field of electronic technology based on face recognition, in particular to a method and system for verifying the identity of driving school candidates throughout the process based on face recognition. Background technique [0002] With the rapid development of China's economy, the sales of cars continue to rise, and the family income continues to increase. More and more people can buy private cars, so more and more people will learn to drive, which makes the driving training industry develop rapidly. In the face of the increasingly "blowout" number of people with car driving licenses, the traffic police department requires that the public security traffic police at all levels must strictly control the issuance of driver's test certificates. It is difficult to invigilate the test and require a large number of invigilators, especially in the actual driving test or training, which requires one-on-one invigilation between the ...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the driver’s test takes a long time, there are many subjects, and different test subjects are carried out in different places. The actual driving operation is carried out on the actual road provided by the driving school, which makes it difficult to invigilate the test and requires a large number of invigilators. During the actual driving test or training, invigilators and reference personnel are required to conduct one-on-one invigilation, resulting in a large amount of waste of invigilators and the existing fingerprint and smart card identification systems cannot effectively monitor the reference personnel in real time and throughout the process. To prevent the defects of forgery and false use of user identities, especially the examination or training subjects managed by the driving school are monitored by the public security management department in real time. The present invention provides a full-process identity verification method and verification system for driving school candidates based on face recognition. Facial features for identity authentication and full identity monitoring

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