The design of a composite wavelet matched filter for face recognition using breeder genetic algorithm

We describe a method using the breeder genetic algorithm to design a composite wavelet matched filter for face recognition. The designed filter can be used in an optical correlator to separate two classes of input face images. Mexican hat and Morlet wavelets have been used for the design of the filter. The performance of the filter has also been evaluated in the presence of additive white Gaussian noise.