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A modified Fourier-Gabor filter is used to enhance the classification rate of the face recognition. To verify the effectiveness of the proposed method, five well known methods are applied to four datasets; the methods are implemented without and with the suggested filter. The datasets consist of varying lighting conditions, different facial expressions, configuration, orientations and emotions. The experiments show that using the suggested Fourier-Gabor filter enhances the classification rates for all methods, all datasets and all training/testing percentage.
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