Human face living body detection method

A living body detection and living body technology, applied in the field of image recognition, can solve problems such as insufficient robustness of features, difficulty in distinguishing face attacks, and classification failure, and achieve the effect of easy deployment and good classification effect

Pending Publication Date: 2021-03-02
HANGZHOU GUANGPO INTELLIGENT TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing technology basically uses single-mode visible light cameras for liveness detection, but visible light cameras are affected by many factors, such as common light changes, posture changes, etc., and it is difficult to distinguish between 3D face attacks
Second, many liveness detection algorithms us

Method used

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  • Human face living body detection method
  • Human face living body detection method
  • Human face living body detection method

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Embodiment Construction

[0030] The present invention will be described in detail below in conjunction with the specific embodiments shown in the accompanying drawings, but these embodiments do not limit the present invention, those of ordinary skill in the art make structural, method, or functional changes based on these embodiments All are included in the scope of protection of the present invention.

[0031] Such as figure 1 As shown in FIG. 1 , it represents a flow chart of a face liveness detection method provided by an embodiment of the present application. The method includes steps as follows:

[0032] Step 101, acquire the visible light image and the 16bit depth image of the target object from the visible light depth camera, and the acquired two images are called the global image;

[0033] The visible light image of the target object refers to the color image obtained by shooting the target object through the camera, and each pixel value of the visible light image is represented by three col...

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Abstract

The invention discloses a human face living body detection method. The method comprises the steps of obtaining a visible light image and a depth image of a target object; detecting five key points ofthe face area and the face by using a face key point detection algorithm, and cutting out local images of areas corresponding to the visible light image and the depth image according to the coordinates of the key points; respectively inputting the cut local images into local feature network branches, and respectively inputting visible light and depth global images into global feature network branches; after different network branch features are superposed, performing feature fusion, and performing dichotomy by utilizing a classification function to obtain a first processing result and a secondprocessing result; and finally, determining whether the target object is a human face living body or not according to the first processing result and the second processing result.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a face detection method. Background technique [0002] Biometric systems are widely used in fields such as mobile phone authentication and access control. focus on. Liveness detection refers to feature screening to determine whether the biometric information obtained through the lens is obtained from the corresponding legal live user. The main method of face-based liveness detection is to distinguish the physiological information on living samples. These physiological information are used as important distinguishing conditions to distinguish sample carriers such as paper and silicone plastic, and are also used to distinguish between paper attacks and video attacks. and mask attacks and other attack methods. The main differences between living samples and non-living samples are reflected in color texture, motion deformation, material and image quality. The living body detectio...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/171G06V40/172G06V40/45G06N3/047G06N3/045G06F18/241G06F18/2415
Inventor 朱程利余小欢洪刘根冯丽张燕陈嵩
Owner HANGZHOU GUANGPO INTELLIGENT TECH CO LTD
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