A novel illumination normalization method for face recognition

Authors:
Yucong Guo;Xingming Zhang;Huangyuan Zhan;Jing Song
Affiliations:
Department of Computer Engineering and Science, South China University of Technology, GuangZhou, China;Department of Computer Engineering and Science, South China University of Technology, GuangZhou, China;Department of Computer Engineering and Science, South China University of Technology, GuangZhou, China;Department of Computer Engineering and Science, South China University of Technology, GuangZhou, China
Venue:
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Year:
2005

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Abstract

The problem of illumination makes the face recognition still an unsolved problem. A new normalization method was presented which is illumination invariant in face recognition. The histogram equalization was applied to improve the performances of the AT (Affine Transform) algorithm. A novel illumination normalization method was introduced. Using the information of the distribution of the histogram, the method makes the combination of the AT algorithm and the ICR (Illumination Compensation based on Multiple Regression Model) algorithm smoothly. Experiments reveals that our proposed algorithm is illumination invariant and achieves better preprocess result while the recognition rate has been evidently improved.