Journal of East China Normal University(Natural Science) >

2016 , Vol. 2016 >Issue 4: 77 - 85

DOI: https://doi.org/10.3969/j.issn.1000-5641.2016.04.009

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

  • ZHAO Ji ,
  • TONG Wei-qing
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  • Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China

Received date: 2015-06-12

  Online published: 2016-09-29

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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)

Cite this article

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 Science), 2016 , 2016(4) : 77 -85 . DOI: 10.3969/j.issn.1000-5641.2016.04.009

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