Discriminant analysis with Gabor phase feature for robust face recognition

Hong Han; Jianfei Zhu; Zhen Lei; Shengcai Liao; Stan Z. Li

doi:10.1117/1.JEI.22.4.043035

19 December 2013 Discriminant analysis with Gabor phase feature for robust face recognition

Hong Han, Jianfei Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 4, 043035 (December 2013). https://doi.org/10.1117/1.JEI.22.4.043035

Abstract

An occlusion robust image representation method is presented and applied to face recognition. In our method, Gabor phase difference representation is used mainly to resist occlusion. Based on the good ability of Gabor filters to capture image structure and the robustness to image occlusion shown here, Gabor phase features are expected to be discriminative and robust for face representation in occlusion case. Furthermore, we find that different scales and orientations of Gabor phase features lead to quite varied performance and then we analyze it carefully and find the effective Gabor phase (EGP) features. Moreover, we adopt spectral regression–based discriminant analysis, along with the extracted EGP features, to find the most discriminant subspace for classification. Thereby, an occlusion robust face image discriminant subspace is derived. Five kinds of feature representation methods and two subspace learning methods are compared for our recognition problem. Extensive experiments with various occlusion cases show the efficacy of the proposed method.

Citation Download Citation

Hong Han, Jianfei Zhu, Zhen Lei, Shengcai Liao, and Stan Z. Li "Discriminant analysis with Gabor phase feature for robust face recognition," Journal of Electronic Imaging 22(4), 043035 (19 December 2013). https://doi.org/10.1117/1.JEI.22.4.043035

Published: 19 December 2013

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available