Title :
Sequential face recognition based on LVQ networks
Author :
Jun, Yan ; Wang Dian-hong
Author_Institution :
Sch. of Mech. & Electron., China Univ. of Geosci., Hubei, China
Abstract :
This paper proposes a face recognition method based on PCA and LVQ neural networks. PCA is applied to get the eigen vector of the images, then these eigen values are used as the input of the learning vector quantization networks, and the output of LVQ networks are the result of classification. Experiments on Cambridge ORL database are provided, The promising results clearly demonstrate the effectiveness of this method.
Keywords :
eigenvalues and eigenfunctions; face recognition; image sequences; neural nets; principal component analysis; vector quantisation; Cambridge ORL database; PCA; eigen values; eigen vector; learning vector quantization neural networks; sequential face recognition; Covariance matrix; Eigenvalues and eigenfunctions; Electronic mail; Face recognition; Geoscience; Image processing; Image reconstruction; Neural networks; Principal component analysis; Vector quantization;
Conference_Titel :
VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on
Print_ISBN :
0-7803-9005-9
DOI :
10.1109/IWVDVT.2005.1504606
