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A multi-strategy anti-fraud face recognition method

A face recognition and anti-fraud technology, applied in character and pattern recognition, acquisition/recognition of facial features, instruments, etc., can solve the problems of general resistance and poor user experience, and achieve the effect of preventing identity fraud and low cost

Active Publication Date: 2022-01-07
BEIJING UNIV OF TECH
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

Traditional liveness detection methods are often aimed at a single fraudulent method, and forgery attacks are easy to seize the short board to attack
Or use the method of user cooperation for action verification. This method has poor user experience and general resistance

Method used

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  • A multi-strategy anti-fraud face recognition method
  • A multi-strategy anti-fraud face recognition method
  • A multi-strategy anti-fraud face recognition method

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Embodiment Construction

[0013] The technical solutions of the present invention will be further specifically described below through examples.

[0014] The invention provides a multi-strategy anti-fraud face recognition method, which is suitable for a near-infrared (NIR) camera video collection platform. According to the idea of ​​"barrel principle", the present invention uses multi-level anti-fraud means in each link of face recognition to improve the security performance of the system. The overall framework is as follows: figure 1 As shown, measures are taken against different fraudulent authentication behaviors, and authentication is performed quickly when the user does not cooperate with the action.

[0015] Such as figure 1 As shown, the present invention provides a kind of multi-strategy anti-fraud face recognition method, comprising the following steps:

[0016] Step 1: Use the near-infrared camera to collect images for multiple face registration

[0017] Face registration can ensure the au...

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Abstract

The invention discloses a multi-strategy anti-fraud face recognition method, comprising: Step 1. During the face detection process, detect whether there is a bright pupil generated by a near-infrared device at the position of the pupil of the eye, and detect the gray level of the skin color of the face at the position of the face In the interval, whether the variance meets the threshold, and judge whether it is a fraudulent attack; step 2, according to the dynamics of the face recognition process, in the face recognition verification process, based on the 3D face reconstruction of the Candide‑3 model, micro-expression detection is performed, Compare the similarity between the facial features and the 3D model between the adjacent 3 frames, and set a reasonable threshold to avoid overly similar faces.

Description

technical field [0001] The invention belongs to the field of biological feature recognition, in particular to a multi-strategy anti-fraud face recognition method. Background technique [0002] At present, face recognition technology is widely used. The main goal of face recognition technology is to identify the identity of face images. However, the face recognition process faces multiple fraudulent means. problems that urgently need to be resolved. Face recognition technology is mainly faced with three fraudulent methods: legitimate user's face picture, legitimate user's face video, and legitimate user's 3D model. Traditional liveness detection methods are often aimed at a single fraudulent method, and forgery attacks are easy to seize the short board to attack. Or use the method of user cooperation to perform action verification. This method has poor user experience and general resistance. Only by using multi-level strategies can we effectively deal with complex and mult...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/174G06V40/168G06V40/172
Inventor 王素玉于晨
Owner BEIJING UNIV OF TECH
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