Efficient face detection using Fuzzy neural network and Gabor wavelet

چکیده مقاله

This paper introduces a face detection method in which local Gabor binary pattern (LGBP) is used to extract facial features. And their feature vector is then placed on fuzzy neural network in order to classification. In this method, face images were processed using Gabor wavelet, and the measure of its response in order to improve local binary pattern descriptor is applied. System performance increases when these two descriptors are combined together. Since fuzzy neural network is a new technique in order to classifying the patterns according to the extracted features and is insensitive to small changes on input data, with that system performance considerably would be improved. Mentioned method is resistant to slight changes in image different situations and state changes

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