Adaptive Biometric Systems: Recent Advances And Challenges (advances In Computer Vision And Pattern Recognition)

Adaptive Biometric Systems: Recent Advances And Challenges (advances In Computer Vision And Pattern Recognition)
by Ajita Rattani / / / PDF


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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.

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