This book tries to focus on a new approach to Text Dependent Speaker Identification. It describes how various transformation techniques can be applied on Spectrograms to identify speaker. It also evaluates and compares the efficiency of identification by applying transformation techniques like DCT, Walsh and Haar in different ways on spectrograms and by selecting different sizes of feature vectors.

This book presents a novel approach for Face Recognition using 'Vector Quantization'. Face Recognition is one of the popular biometric techniques used in today's era. A face recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Vector quantization is simple image compression technique. It is efficient for image coding because it reduces computational complexity. VQ compression is highly asymmetric in processing time: choosing an optimal codebook takes huge amounts of calculations, but...