Face Recognition Based on Wavelet Transform and PCA-ANN
MA Gui-ying · Computer Knowledge and Technology · 2009
This thesis mainly studies on the basic theory and technology about the identification of people's faces.After experimenting,we choose the better methods. This thesis proposes a new methods which integrates three elements (Wavelet Transform,Principal Component Analysis,Artificial Neural Networks),which can recognize faces more effectively. Meanwhile,this methods lessens the effect of light on faces and appearance. Experimental result indicates that our new face recognition system is effective at the aspects of both correct ratio and speed of distinguishing.