A face detection method based on frequency domain analysis of color video signals

A technology of live detection and frequency domain analysis, applied in the field of face recognition, can solve the problems of high user requirements, high cost, long authentication time, etc., to achieve the effect of good user experience, reduced user cost, and simple algorithm
CN109101949AInactive Publication Date: 2018-12-28广州云从洪荒智能科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
广州云从洪荒智能科技有限公司
Publication Date
2018-12-28
Estimated Expiration
Not applicable · inactive patent

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Abstract

A method for detecting human faces based on frequency domain analysis of color video signal adopts the following steps: (1) collecting human face video by image stream collecting device and sending the human face video to processing module; 2, detecting and recognizing that face in the face video by a processing module; 3, the processing module selecting the upper frontal region of the face imageas the target region; 4, acquiring the RGB color mean value in the target area, and obtaining the mean value sequence x1 (t), x2 (t), x3 (t) and t of the three channels to represent the time; 5, performing independent component analysis on the RGB signal, and obtaining three component of the independent component analysis as s1 (t), s2 (t) and s3 (t). The use method is user-contactless, and the human face living detection can be completed without completing any action, and the user experience is good.
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Description

technical field

[0001] The invention relates to the field of face recognition, in particular to a face living body detection method based on color video signal frequency domain analysis. Background technique

[0002] Face recognition technology is currently one of the most widely used biometric identification technologies, which has the advantages of convenience, user-friendliness, and non-contact. With the wide application in all walks of life, the safety of use has become a common concern. In the face recognition system, criminals can easily use photos and masks to fake faces to carry out attacks and fraud. Therefore, face liveness detection technology has gradually attracted the attention of academia and industry, and its purpose is to distinguish real and fake faces.

[0003] The current face detection technology mainly has the following types:

[0004] 1. Method based on feature learning: Compared with the real face collected by the same device and the fake face, the...

Claims

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