Online passing system based on face feature recognition technology

Abstract

The invention discloses an online passing system based on a face feature recognition technology. Comprising an acquisition module, an acquisition module, an extraction module, an initialization module, a calculation module, a matching module, a detection module and an optimization module. A feature face matching algorithm is adopted, so that face recognition with higher accuracy is realized; on-line / off-line living body detection service is adopted to identify whether a user is a real person or not, and cheating tools such as photos, videos and 3D molds are effectively resisted; the space and time complexity of the system is optimized by adopting a system optimization algorithm, the response time of the system is reduced, and the fluency of the system is improved. The face feature recognition system can prevent lawbreakers from cheating by using tools such as photos, videos and 3D molds of others, can effectively improve the face recognition accuracy and passing efficiency of an existing face recognition system, can be widely applied to the fields of financial industry, retail industry, security passing and the like, and the business requirements of identity verification, face attendance checking, gate passing and the like are met.

Description

technical field [0001] The invention belongs to the technical fields of computer vision and face recognition, and in particular relates to an online traffic system based on face feature recognition technology. Background technique [0002] Face recognition includes face search, face comparison, liveness detection, etc., and can be flexibly applied to industry scenarios such as finance, retail, security, community face recognition, campus smart access control, and enterprise smart access control to meet identity verification and face time attendance. , Turnstile access and other business needs. Face search is to compare the faces collected on-site with the N faces in the specified face database, and find the most similar one or more faces for user identification and verification; face comparison is to compare the faces collected on-site The similarity between the user's photo and the user's reserved photo can be used to judge whether it is the user's operation to ensure the ...

AI Technical Summary

Problems solved by technology

[0004] (1) The accuracy of face recognition is not high, and misjudgment is prone to occur;

[0005] (2) Lawbreakers can use cheating tools such as other people's photos, videos, 3D molds to scan and pass;

[0006] (3) The system response time is long, the system optimization is insufficient, and the fluency is not enough

[0007] It can be seen that the current face recognition traffic system still has many problems in terms of face recognition accuracy, whether it is operated by the person, system response time, and optimization fluency. Passage system has become a hot issue in the field of face recognition that needs to be solved urgently

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