A Gabor Quotient Image for Face Recognition under Varying Illumination

Authors:
Sanun Srisuk;Amnart Petpon
Affiliations:
Department of Computer Engineering, Mahanakorn University of Technology, Bangkok, THAILAND 10530;Department of Computer Engineering, Mahanakorn University of Technology, Bangkok, THAILAND 10530
Venue:
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Year:
2008

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Abstract

In this paper, we introduce a novel concept of illumination normalization for robust face recognition under different illumination conditions. The concept is extended from the Self Quotient Image (SQI) by which the 2D Gabor filter is applied instead of weighted Gaussian filter in order to increase more efficiency of the face recognition. Our experimental result, which is conducted on Yale face database B, has shown that our proposed method reached a very high recognition rate even in the case of extreme varying illumination.