A method of face recognition based on fuzzy clustering and parallel neural networks

Authors:
Jianming Lu;Xue Yuan;Takashi Yahagi
Affiliations:
Graduate School of Science and Technology Chiba University, Inage-ku, Chiba-shi, Japan;Graduate School of Science and Technology Chiba University, Inage-ku, Chiba-shi, Japan;Graduate School of Science and Technology Chiba University, Inage-ku, Chiba-shi, Japan
Venue:
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Year:
2006

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Abstract

This paper presents a method for face recognition based on fuzzy clustering and parallel neural networks. Neural networks have been widely used in various fields. However, the computing efficiency decreases rapidly if the scale of the neural network (NN) increases. In this paper, a new method of face recognition based on the neuron-fuzzy system is proposed. In particular, the face patterns are divided into several small-scale parallel neural networks based on fuzzy clustering, and they are combined to obtain the recognition result. The proposed method achieves 98.71% recognition accuracy using 310 frontal face images and 98.06% recognition accuracy using 310 rotated face images corresponding to 31 individuals.