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The appearance of a face image is severely affected by illumination conditions that hinder the automatic face recognition process. To recognize faces under varying illuminations, we propose an improved wavelet-based normalization method so as to normalize illuminations. We decompose an image into its low frequency and high frequency components. Then different band coefficients are manipulated separately...
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