Person and credential verification system and method based on deep learning

Abstract

The invention relates to a person and credential verification system and method, in particular to a person and credential verification system and method based on deep learning and belongs to the field of security guarding. The system comprises a training subsystem and a person and credential verification subsystem; the method includes a training process and a person and credential verifying process; the training process includes adopting a plurality of on-site facial images of known identities and credential photos to train the training subsystem; the person and credential verifying process includes utilizing the module parameters acquired through the training process, comparing the plurality of on-site acquired images of a discharged person with the credential photos corresponding to the information acquired by a credential reading module, and outputting the verification result whether the person consistent with the credential or not automatically. By the aid of the system and method, the credential photos and a plurality of facial photos acquired through an on-site video monitoring device can be compared effectively, the adaptability to facial angles, on-site environment, light emission and other factors is high, the accuracy of person and credential verification is high, and the discharging speed is high.

Description

technical field [0001] The invention relates to a witness verification system and method, in particular to a deep learning-based witness verification system and method, belonging to the security field. Background technique [0002] In places such as railway stations, bus stations, public security checkpoints, and large-scale exhibitions, due to security or other business needs, it is often necessary to check the credentials of passers-by on the spot. At present, this kind of verification work is mainly done manually by the staff, and it is impossible to prevent criminals from using other people's ID cards to muddle through the customs, and there are potential safety hazards. [0003] In this situation, a verification method based on face recognition technology has emerged. For example, the patent document with application number 201310099064.7 discloses an authentication system and method based on face recognition for the second-generation resident ID card, including The se...

AI Technical Summary

Problems solved by technology

This type of method and system has the following disadvantages: it usually only compares one photo collected with the ID photo, cannot effectively use the information of multiple face photos collected from different angles when people pass, and sometimes requires people to stop and cooperate Taking pictures reduces the traffic speed; and this system has low adaptability to factors such as ambient light and face angles, and the accuracy rate is not high in practical applications; in addition, this method cannot be specially optimized for the ID photo database. The similarity between on-site monitoring photos and ID photos is relatively low; existing face recognition systems often rely on the precise positioning of facial contour feature points, but in practical applications, facial occlusion, lighting changes and other reasons will lead to feature points The positioning is inaccurate, or the generated facial network is inaccurate, resulting in a decline in subsequent recognition accuracy

Images