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Living body detecting method and system based on human face physiologic moving

A face detection and living body detection technology, applied in the field of face recognition, can solve time-consuming problems, achieve the effect of improving performance and reducing intrusion

Inactive Publication Date: 2008-04-09
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is time-consuming, especially ignoring the fundamental difference in physiological movement between real faces and photo faces.

Method used

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  • Living body detecting method and system based on human face physiologic moving
  • Living body detecting method and system based on human face physiologic moving

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Embodiment 1

[0045] In order to distinguish real faces from photo faces, embodiments of the present invention provide a living body detection method and system based on physiological movement of faces. This method can effectively distinguish real faces from photo faces by judging the physiological movement of faces. As shown in Figure 1, the specific implementation steps are as follows:

[0046] Step 101: Detect the moving area and moving direction of the object in the system's camera perspective, and lock the frame of the face detection result.

[0047]Perform face detection in the current system camera angle of view, and lock the rectangular frame that most resembles a human face, thereby locking the face detection result frame. The motion area of ​​the object in the current system camera angle of view can be detected by the difference between two adjacent frames. There can be one or more motion areas; the direction of object motion can be detected by calculating the horizontal gradient...

Embodiment 2

[0061] The embodiment of the present invention provides a living body detection system based on facial physiological movement, as shown in Figure 2, the system includes:

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Abstract

The invention discloses an in vivo detection method and a system based on the physiological motion of face, pertaining to the face recognition field. The method includes that: Step A. detecting a motion region and a motion direction of the object within the imaging view of the detection system, and locking a face detection result frame; Step B. judging whether a valid face motion exists in the face detection result frame, if not, a picture face is determined, and if it is, turn to the Step C; Step C. judging whether the face motion in the face detection result frame is a physiological motion, if not, a picture face is determined, and if it is, an actual face is determined. The system comprises a motion detection module, a valid-face-motion judgment module and a physiological motion judgment module. The technical proposal in the invention can discriminate actual face and picture face, and enhance the reliability of the face recognition system.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a living body detection method and system based on physiological movement of a face. Background technique [0002] In recent years, biometric identification technology has made great progress. The commonly used biometrics are face, fingerprint, iris and so on. The use of biometrics for personal identification is widely used around the world, through which biometric information can accurately distinguish real registrants from forged registrants. However, there are various threats to biometric identification, such as logging in with fake photos of faces, fingerprints, and irises, and more. Distinguish whether the biometrics submitted to the system come from living individuals, and prevent malicious counterfeiters from stealing other people's biometrics for identification, forming the biometric identification system's liveness detection. Face recognition technology has be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06K9/00221G06K9/00899G06V40/16G06V40/40
Inventor 丁晓青王丽婷方驰刘长松彭良瑞
Owner TSINGHUA UNIV
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