Method and system for authenticating shielded face

Abstract

The invention discloses a method and a system for authenticating a shielded face, wherein the method comprises the following steps: S1) collecting a face video image; S2) preprocessing the collected face video image; S3) performing detection calculation on the shielded face, evaluating a position of a face image by utilizing a three-frame difference method according to motion information of a video sequence, and further confirming the position of the face according to an Adaboost algorithm; and S4) performing authenticating calculation on the shielded face, dividing a face sample into a plurality of sub-blocks, performing shielding distinguishment on the sub-blocks of the face by adopting a SVM(Support Vector Machine) binary algorithm combined with a supervising 1-NN k-Nearest neighbor method, if the sub-blocks are shielded, directly abandoning the sub-blocks, and if the sub-blocks are not shielded, extracting a corresponding LBP (Length Between Perpendiculars) textural feature vector for performing weighting identification, and then using a classifier based on a rectangular projection method to reduce feature matching times. According to the method for authenticating the shielded face, the detection rate and the detection speed for the local shielded face are effectively increased.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a method and system for occluded face authentication. Background technique [0002] With the continuous development of science and technology and the rapid advancement of the IT industry, the requirements for automatic identification in various fields of society have become increasingly prominent. How to quickly and effectively identify the identity of the target person has become a hot issue that needs to be solved urgently. At present, the identity verification of the target person still mainly relies on traditional identity verification methods such as citizen ID cards, work permits, and personal passwords. These methods have disadvantages such as troublesome carrying, easy loss, and easy forgery. With the development of photoelectric technology, microcomputer technology, image processing technology and pattern recognition technology, biometric recogniti...

AI Technical Summary

Problems solved by technology

[0014] (2) Face occlusion problems, such as hair, accessories, beards, etc.

These interference factors make the face data acquired by the imaging device incomplete, and the system cannot extract complete and effective face information, which affects the detection and recognition accuracy of the entire face authentication system.

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