Abstract

This paper proposed a face recognition technique using evolutionary fuzzy clustering and parallel neural networks. Evolutionary fuzzy clustering is used for optimal distribution of images into the corresponding clusters which are generated through fuzzy clustering. Parallel neural network is used for training and recognition process is done based on the outcome of the parallel neural network. For evaluation of performance of the proposed technique, we use AT & T bell lab face dataset. Experimental analysis shows the efficacy of the proposed method and effect of various parameters on recognition rate.

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