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

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 fac...

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Bibliographic Details
Published in:Signal processing 2006-08, Vol.86 (8), p.2026-2039
Main Authors: Lu, Jianming, Yuan, Xue, Yahagi, Takashi
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Face recognition
Fuzzy clustering
Image processing
Information, signal and communications theory
Parallel neural networks
Pattern recognition. Digital image processing. Computational geometry
Signal processing
Telecommunications and information theory
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Summary: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.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2005.09.023