Title :
Human face recognition based on radial basis probabilistic neural network
Author :
Guo, Lin ; Huang, De-Shuang
Author_Institution :
Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China
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.
Keywords :
face recognition; learning (artificial intelligence); least squares approximations; optimisation; radial basis function networks; wavelet transforms; Olivetti research laboratory; human face recognition method; orthogonal least square algorithm; radial basis function neural network; radial basis probabilistic neural network; recursive OLSA; structure optimization; training algorithms; wavelet transformation; Face recognition; Humans; Laboratories; Least squares methods; Machine intelligence; Neural networks; Neurons; Radial basis function networks; Support vector machine classification; Support vector machines;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223751
