Face living body detection method for removing highlight features and direction gradient histogram

A directional gradient, live detection technology, applied in the field of biometric authentication, can solve problems such as not achieving ideal results

Pending Publication Date: 2020-11-10
TIANJIN UNIV
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  • Face living body detection method for removing highlight features and direction gradient histogram
  • Face living body detection method for removing highlight features and direction gradient histogram
  • Face living body detection method for removing highlight features and direction gradient histogram

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[0074] The present invention uses the method of superimposing different feature extraction algorithms to obtain good classification results and very reliable detection capabilities in the facial living body detection system. Experimental results show that the detection results of the facial liveness detection algorithm proposed by the present invention have good consistency with the real results, which can not only improve the accuracy of the facial liveness detection system, but also enhance the generalization ability of the system.

[0075] Now facial liveness detection technology has become the key research direction of various experts and scholars, and the liveness detection technology based on facial static features has been favored by many research experts at home and abroad. The liveness detection technology based on static features can further guarantee the security of the face authentication system. At present, most research institutes study the liveness detection tech...

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Abstract

The invention belongs to the technical field of biometric authentication, and aims to improve the reliability of a face living body detection system in coping with samples of different attack modes. According to a binary signal detection theory, parameters of a classifier are adjusted, the practicability of the face living body detection system is improved, the safety of the face living body detection system is improved, and the efficient and accurate face living body detection method is established, so that the face detection system has higher practicability, and the development of the face living body detection system is promoted. A face living body detection method for removing highlight features and direction gradient histograms comprises the steps that firstly, a highlight removing method HRM is used for preprocessing a to-be-detected picture, then a gradient histogram HOG is used for texture feature extraction and feature processing, and the texture features are used for distinguishing face pictures collected primarily and face pictures collected secondarily; and finally, parameter adjustment is made on the classifier to finally realize accurate detection of the face living body. The invention is mainly applied to biometric authentication occasions.

Description

technical field [0001] The invention belongs to the technical field of biological authentication and relates to the improvement of a living body detection algorithm and the verification of the reliability, safety and generalization ability of the improved facial living body detection system. Background technique [0002] Identity authentication technology plays a pivotal role in information security and is the basis of other security mechanisms. There are three main methods of identity authentication: verification based on the knowledge of the verified party, such as various account passwords used in daily life, etc.; verification based on things owned by the verified party, such as the USB shield used in bank electronic payment etc.; verify according to the unique characteristics of the verified party, such as biometric identification technology, etc. [0003] Biometric features are unique and stable, providing a strong guarantee for identity authentication technology. In...

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46
CPCG06V40/161G06V40/168G06V40/172G06V40/45G06V10/30G06V10/50G06V10/56
Inventor 李素梅赵平王明毅
Owner TIANJIN UNIV
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