Wavelet analysis is used as a pre processor for a back-propagation neural network with conjugate gradient learning. The inputs to the neural network are the wavelet maxima neighborhood coefficients of face images at a particular scale. The output of the neural network is the classification of the input into an eye or non-eye region.

WT_NN\aisT.m
.....\WT_NN.m
.....\Sim.m
.....\test01.tif
.....\test02.tif
.....\test03.tif
.....\test04.tif
.....\Train.m
WT_NN

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