Adaptive Biometric Systems
Recent Advances and Challenges
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Beschreibung
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 challengesReviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) dataDescribes a novel semi-supervised training strategy known as fusion-based co-trainingExamines the characterization and recognition of human gestures in videosDiscusses a selection of learning techniques that can be applied to build an adaptive biometric systemInvestigates procedures for handling temporal variance in facial biometrics due to agingProposes 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.
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.
The first book dedicated to the emerging field of adaptive biometric systems Describes the schemes and learning mechanisms involved in biometric system adaptation, and provides insight into the levels at which the process of adaptation can be performed Presents interdisciplinary coverage, bridging areas of computational intelligence, pattern recognition, machine learning, and signal processing Includes supplementary material: sn.pub/extras
Autor*in
Ajita Rattani
Themen in »Adaptive Biometric Systems«
Adaptive Biometrics Adaptive Pattern Recognition Computational Biometrics Intelligent Systems Pattern Recognition