Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37720
Title: Human face recognition based on radial basis probabilistic neural network
Authors: Guo, L
Huang, DS
Keywords: Face recognition
Learning (artificial intelligence)
Least squares approximations
Optimisation
Radial basis function networks
Wavelet transforms
Issue Date: 2003
Source: Proceedings of the International Joint Conference on Neural Networks (IJCNN'2003), Portland, Oregon, 20-24 July 2003, p. 2208-2211 How to cite?
Abstract: In this paper, a novel human face recognition method based on radial basis probabilistic neural network (RBPNN) is proposed. The orthogonal least square algorithm (OLSA) is used to train the RBPNN and the recursive OLSA is adopted to optimize the structure of the RBPNN. The Olivetti Research Laboratory (ORL) facial database, which is preprocessed by wavelet transformation, is used to test the proposed approach. The experimental results show that the RBPNN achieves higher recognition rate and better classification efficiency with respect to radial basis function neural network (RBFNN) and BP neural network.
URI: http://hdl.handle.net/10397/37720
ISBN: 0-7803-7898-9
ISSN: 1098-7576
DOI: 10.1109/IJCNN.2003.1223751
Appears in Collections:Conference Paper

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