Face recognition using near infrared images based on LBP and Gabor hybrid feature

doi:10.3969/j.issn.1000-5641.2016.04.009

Abstract

Abstract:

To take advantages of local binary patterns (LBP) and Gabor, we proposed an algorithm for face recognition based on hybrid features, using cosine similarity and principal component analysis (PCA). Four kinds of LBP and Gabor hybrid feature methods were studied and experimental results on 871 people’s nearinfrared face illustrated that the proposed method attained higher correct rate and lower false accept rate (FAR).

Key words: face recognition, LBP, Gabor, support vector machine (SVM)

ZHAO Ji,TONG Wei-qing. Face recognition using near infrared images based on LBP and Gabor hybrid feature[J]. Journal of East China Normal University(Natural Sc, doi: 10.3969/j.issn.1000-5641.2016.04.009.

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