Liveness detection method and device based on activity state of human eye area

A human eye area and human eye detection technology, which is applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as video counterfeiting attacks, and achieve the effect of preventing video counterfeiting attacks
CN105138967BActive Publication Date: 2018-03-27湖北九感科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
湖北九感科技有限公司
Publication Date
2018-03-27

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Abstract

The invention discloses a living body detection method and device based on the activity state of human eye regions, belonging to the field of computer applications. The method includes: performing human eye detection on real-time video images according to a scale equalization algorithm, a human face detection algorithm, and a human eye detection algorithm to obtain a human eye area; Human eye tracking to obtain the real-time coordinate information of the human eye feature points and the human eye feature points; after sending random eye movement instructions to the user, according to the LK tracking algorithm, the human eye feature points and the human eye feature The real-time coordinate information of the point is used to track the human eye of the real-time video image to obtain the real-time human eye area of ​​the preset frame number; according to the living body detection algorithm and the real-time human eye area of ​​the preset frame number, it is judged whether the user is living body. The present invention can effectively perform living body detection through human eye tracking and random eye movement instructions, and prevent video counterfeiting attacks.
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Description

technical field

[0001] The invention relates to the field of computer applications, in particular to a living body detection method and device based on the activity state of human eye regions. Background technique

[0002] With the continuous development of biometric identification technology, face recognition technology is widely used in identity authentication systems. However, the identity authentication system based on face recognition technology cannot identify non-living information such as photos or videos, and fakes and deceptions are carried out by replacing real living bodies with photos or videos, which poses a serious threat to the security of the identity authentication system. Aiming at the problem of counterfeiting and deception in face recognition technology, liveness detection has become an important technology to distinguish whether the current authentication user is alive or not.

[0003] In the prior art, the living body detection technology based on hum...

Claims

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