Occluded Face Recognition by Using Gabor Features
نویسندگان
چکیده
A new approach to feature based frontal face recognition with Gabor wavelets is presented in this paper. The feature points are automatically extracted using the local characteristics of each individual face in order to decrease the effect of occluded features. There is no training as in neural network approaches, thus single frontal face for each individual is enough as reference. Experimental results show that the proposed method achieves a recognition
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تاریخ انتشار 2002