Eye Detection using Wavelets and ANN

Rakhi C. Motwani, Mukesh C. Motwani, J. S. Harris · 2004

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. 1.

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