TY - BOOK AU - Rattani,Ajita AU - Roli,Fabio AU - Granger,Eric ED - SpringerLink (Online service) TI - Adaptive Biometric Systems: Recent Advances and Challenges T2 - Advances in Computer Vision and Pattern Recognition, SN - 9783319248653 AV - QH323.5 PY - 2015/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Biometrics KW - Optical pattern recognition KW - Artificial intelligence KW - Pattern Recognition KW - Signal, Image and Speech Processing KW - Artificial Intelligence N2 - This timely and 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. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges 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 This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments UR - https://doi.org/10.1007/978-3-319-24865-3 ER -