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Face recognition systems must be robust to the variation of various factorssuch as facial expression, illumination, head pose and aging. Especially, therobustness against illumination variation is one of the most important problemsto be solved for the practical use of face recognition systems. Gabor waveletis widely used in face detection and recognition because it gives thepossibility to simulate the function of human visual system. In this paper, wepropose a method for extracting Gabor wavelet features which is stable underthe variation of local illumination and show experiment results demonstratingits effectiveness.

Robust Face Recognition using Local Illumination Normalization and Discriminant Feature Point Selection