Description |
1 online resource (x, 134 pages) : illustrations |
Series |
Advances in computer vision and pattern recognition |
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Advances in computer vision and pattern recognition.
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Contents |
Machine generated contents note: 1. Introduction to Adaptive Biometric Systems / Ajita Rattani -- 2. Context-Sensitive Self-Updating for Adaptive Face Recognition / F. Roli -- 3. Handling Session Mismatch by Semi-supervised-Based Co-training Scheme / Ajita Rattani -- 4. Hybrid CRF/HMM for One-Shot Gesture Learning / Thierry Paquet -- 5. Online Learning-Based Adaptive Biometric System / M. Blumenstein -- 6. Adaptive Facial Recognition Under Ageing Effect / Gian Luca Foresti -- 7. Adaptive Score Level Fusion Scheme for Multimodal Biometrie Systems / Phalguni Gupta |
Summary |
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 |
Bibliography |
Includes bibliographical references and index |
Notes |
English |
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Online resource; title from PDF title page (EBSCO, viewed October 28, 2015) |
Subject |
Biometric identification.
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Identification -- Automation
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Computer networks -- Access control.
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Pattern recognition.
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Imaging systems & technology.
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Artificial intelligence.
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COMPUTERS -- General.
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Biometric identification
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Computer networks -- Access control
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Identification -- Automation
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Form |
Electronic book
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Author |
Rattani, Ajita, editor
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Roli, Fabio, editor
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Granger, Eric, editor
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ISBN |
9783319248653 |
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3319248650 |
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