Face living body detection method and device

A living body and face image technology, applied in the field of biometrics, can solve problems such as poor user experience, long waiting time, and unfriendliness, and achieve the effect of no need for waiting time, enhanced accuracy and robustness, and rich features

Active Publication Date: 2018-03-13
BEIJING EYECOOL TECH CO LTD
View PDF7 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a face detection method and device to solve the problems in the prior art that are no

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Face living body detection method and device
  • Face living body detection method and device
  • Face living body detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] refer to figure 1 , which shows a flow chart of Embodiment 1 of a human face liveness detection method according to the present invention, the method comprising:

[0046] Step 101, collecting face images, and preprocessing the face images;

[0047] The face image of the detected face is collected, and the detected face may be a living human face or a non-living human face, for example, a photo, a video, a video, and the like. The human face image is a visible light human face image or a near-infrared human face image. Due to various conditions and random interference, the original face images collected cannot be used directly, and must be preprocessed to make them suitable for the process of feature extraction. For face ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a face living body detection method and device. The method comprises the following steps that: collecting a face image, and preprocessing the face image; extracting the BRISQUE(Blind/Referenceless Image Spatial Quality Evaluator) feature of the no-reference image quality assessment in the spatial domain of a preprocessed face image; inputting the BRISQUE feature of the no-reference image quality assessment in the spatial domain into a classifier for classification; and according to a classification result, judging whether the face image is from a living body or not. Theface living body detection method does not need to be cooperated with the movement and the action of a user, and a user experience degree is good. In addition, a photo and an image collected by a video are subjected to secondary imaging to exhibit distortion, including noise, reflection and the like, so that the living body face image, the photo image, the living body face image and the video image have differences on an aspect of image gray level statistics, the differences are used for extracting the BRISQUE features based on gray level statistics for identification, and the accuracy and the robustness of living body detection are enhanced.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to a method and device for detecting human face liveness. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. In the life and work of modern people, the use of face recognition technology can effectively enhance security and privacy. But there is also a problem in reality. For example, using false information such as photos or videos may deceive face recognition devices, allowing illegal users to use face recognition as a security line of defense, posing a threat to security and pr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/172G06V40/45
Inventor 张祥德
Owner BEIJING EYECOOL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products