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Application of a Novel Neural Network to Face Recognition Based on DWT

Based on studies of the biological olfactory system, a chaotic neural network model called a K-set has been constructed. This nonlinear neural network is trained to sustain a landscape of chaotic attractors for use in signal processing. Based on the idea of image partition and the discrete wavelet transform (DWT), this paper applies the chaotic neural network to face recognition. Experimental results show that the chaotic model performs image pattern classification efficiently