@article {316,
	title = {Research on face recognition based on wavelet transform and PCA-ANN},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {136 - 141},
	abstract = {This paper mainly studies the basic theory and technology on the identification of people{\textquoteright}s faces. The better methods are chosen and a new method is proposed. It integrates three elements (Wavelet Transform, Principal Component Analysis, Artificial Neural Networks), and the method can recognize faces more effectively. Meanwhile, this method lessens the effect of light on face appearance. Experimental result indicates that our new face recognition system is effective in the aspects of both correct ratio and speed of distinguishing.},
	keywords = {Face recognition, Feature extraction, Principal component analysis, Radial basis function neural network},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84866450615\&partnerID=40\&md5=f0bb715fcc45b0395a7a2fee9540fdb9},
	author = {Yuanzhi, W. and Xiao, L.}
}
