A neural network and wavelet based face detection method
Shu Huazhong · Journal of Circuits and Systems · 2007
A novel face detection method,which combined the merit of neural network and wavelet,is presented in this paper.Two stages are involved in this method.In the training phase,some background masks are generated and added to the background of the AR face database examples.Then the pretreated face images are decomposed by the wavelet transformation and the corresponding wavelet coefficients are set as the input samples for a well-designed neural network.In the face detection phase,the neural network is used to judge whether the input region of the resized images contained a face.The detection results are validated and combined by the rule-based method and SUSAN-based method.The experimental results illustrate the efficiency and robustness of the proposed approach.