Eye Detection using Wavelets and ANN

In this paper we suggest a novel method which is robust and efficient in extracting eye windows using Wavelets and Neural Networks. 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. An accuracy of 88% is observed for test images under different environment conditions not included during training.