Face recognition using wavelet transform, fast Fourier transform and discrete cosine transform

This paper describes two methods for face recognition problem with on image database (D.B). The two methods are based on face-based approach. The first method combines the wavelet transform (WT) and fast Fourier transform (FFT), while the second method, combine the WT and discrete cosine transform (DCT). Using the virtue of WT we extract the most insensitive features to facial expression variations. The first method proven to be very efficient with face images of different: features, illuminations and small occlusion. The second method has proven to be good with the above variations of first method together with face images of different: scales, poses and rotated images (+/- 20). Two D.Bs are used to perform our work. The Yale D.B and Olivetti D.B. The two introduced methods are compared to two known methods, the Template method and the Eigenface method on the same D.Bs.