This paper presents a novel Gabor phase based illumination invariant extraction method aiming at eliminating the effect of varying\nillumination on face recognition. Firstly, It normalizes varying illumination on face images, which can reduce the effect of varying\nillumination to some extent. Secondly, a set of 2D real Gabor wavelet with different directions is used for image transformation, and\nmultiple Gabor coefficients are combined into one whole in considering spectrum and phase. Lastly, the illumination invariant is\nobtained by extracting the phase feature from the combined coefficients. Experimental results on the Yale B and the CMU PIE face\ndatabase show that our method obtained a significant improvement over other related methods for face recognition under large\nillumination variation condition.
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