Good face detection is an important part of a reliable face recognition system. We propose methods of face detection and normalization. Normalization requires the exact location of eyes to straighten any rotated face image. Eyes detection methods are also developed for this purpose. The accuracy of the classical PCA technique for face recognition can be improved by incorporating the class information. We develop a system based on the method of least-squares which takes into account the class information. The discrete wavelet transform decomposes an image into bands (subband images). The...