A Method for Face Recognition Based on Wavelet Neural Network

Face recognition is a front complex subject, which involves Physiology, Psychology, Image Processing, Computer Vision, Pattern Recognition and Mathematics. As a research success in the field of wavelet analysis theory, WNN(Wavelet Neural Network), a feed-forward network, avoids the blindness in structure design of BP(Back propagation) neural network, excludes the probability of sub-optimization in local non-linear optimization problems during network training process and has the capability of function learning and popularization. This paper presents a face recognition algorithm based on wavelet neural network. This algorithm depends on the multi-resolution property of wavelet and the robustness and memorization features of neural network, as well as combines with the wavelet neural network step adjustment algorithm, a wavelet neural network is designed for the use of face recognition. Its effectiveness and accuracy are verified by some experiments.