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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

Active Publication Date: 2018-03-27
湖北九感科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the existing living body detection technology is ineffective against video counterfeiting attacks, the embodiment of the present invention provides a living body detection method and device based on the activity state of the human eye area

Method used

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

Examples

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Embodiment 1

[0051] figure 1 It is a flow chart of a living body detection method based on the activity state of the human eye region provided in Embodiment 1 of the present invention. The execution subject of this embodiment is an electronic device. See figure 1 , the method includes:

[0052] 101: Perform human eye detection on the real-time video image according to the scale equalization algorithm, face detection algorithm, and human eye detection algorithm to obtain the human eye area;

[0053] Wherein, the scale equalization algorithm is an algorithm for traversing windows of different preset scales in images of different preset frame numbers. The preset scale is the scale of face detection, for example, the preset scale can be 10x10, 20x20, 30x30, etc., preferably, the preset scale is 30x30. The preset number of frames is the number of image frames required for face detection, for example, the preset number of frames is 1, 2, 3, etc., preferably, the preset number of frames is 3 fr...

Embodiment 2

[0090] figure 2 It is a flowchart of a living body detection method based on the activity state of the human eye area provided in Embodiment 2 of the present invention. When the random eye movement instruction is to move left or right, see figure 2 , the method includes:

[0091] 201: Perform face detection on the real-time video image according to the scale equalization algorithm and the face detection algorithm to obtain the face area;

[0092] Wherein, the scale equalization algorithm is an algorithm for traversing windows of different preset scales in images of different preset frame numbers. The face detection algorithm needs to traverse all scales for each frame of image, which increases the computing load of electronic equipment and affects the real-time processing performance of face detection. The scale equalization algorithm evenly distributes all scales in the face detection algorithm to multiple frames of images for processing, improving the processing speed of...

Embodiment 3

[0111] image 3 It is a flow chart of a living body detection method based on the activity state of the human eye region provided in Embodiment 3 of the present invention. When the random eye movement instruction is to close the eyes, see image 3 , the method includes:

[0112] 301: Perform face detection on the real-time video image according to the scale equalization algorithm and the face detection algorithm to obtain the face area;

[0113] Wherein, the scale equalization algorithm is an algorithm for traversing windows of different preset scales in images of different preset frame numbers.

[0114] For the implementation process of this step, reference may be made to step 201 in Embodiment 2, which will not be repeated here.

[0115] 302: Perform human eye detection according to the human eye detection algorithm and the human face area to obtain the human eye area;

[0116] For the implementation process of this step, refer to step 202 in Embodiment 2, which will not ...

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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.

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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/18
Inventor 徐光柱刘鸣尹潘龙雷帮军李春林
Owner 湖北九感科技有限公司
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