Adaptive Biometric Systems: Recent Advances and Challenges (Advances in Computer Vision and Pattern Recognition)

<P>THIS INTERDISCIPLINARY VOLUME PRESENTS A DETAILED OVERVIEW OF THE LATEST ADVANCES AND CHALLENGES REMAINING IN THE FIELD OF ADAPTIVE BIOMETRIC SYSTEMS. A BROAD RANGE OF TECHNIQUES ARE PROVIDED FROM AN INTERNATIONAL SELECTION OF PRE-EMINENT AUTHORITIES, COLLECTED TOGETHER UNDER A UNIFIED TAXONOMY AND DESIGNED TO BE APPLICABLE TO ANY PATTERN RECOGNITION SYSTEM. FEATURES: PRESENTS A THOROUGH INTRODUCTION TO THE CONCEPT OF ADAPTIVE BIOMETRIC SYSTEMS; REVIEWS SYSTEMS FOR ADAPTIVE FACE RECOGNITION THAT PERFORM SELF-UPDATING OF FACIAL MODELS USING OPERATIONAL (UNLABELED) DATA; DESCRIBES A NOVEL SEMI-SUPERVISED TRAINING STRATEGY KNOWN AS FUSION-BASED CO-TRAINING; EXAMINES THE CHARACTERIZATION AND RECOGNITION OF HUMAN GESTURES IN VIDEOS; DISCUSSES A SELECTION OF LEARNING TECHNIQUES THAT CAN BE APPLIED TO BUILD AN ADAPTIVE BIOMETRIC SYSTEM; INVESTIGATES PROCEDURES FOR HANDLING TEMPORAL VARIANCE IN FACIAL BIOMETRICS DUE TO AGING; PROPOSES A SCORE-LEVEL FUSION SCHEME FOR AN ADAPTIVE MULTIMODAL BIOMETRIC SYSTEM.<BR></P>