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Title Adaptive biometric systems : recent advances and challenges / Ajita Rattani, Fabio Roli, Eric Granger, editors.
Imprint Cham : Springer, 2015.


 Internet  Electronic Book    AVAILABLE
Description 1 online resource (x, 134 pages) : illustrations
Series Advances in computer vision and pattern recognition
Advances in computer vision and pattern recognition.
Bibliog. Includes bibliographical references and index.
Note Available only to authorized UTEP users.
Online resource; title from PDF title page (EBSCO, viewed October 28, 2015).
Subject Biometric identification.
Identification -- Automation.
Computer networks -- Access control.
Genre Electronic books.
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.
Other Author Rattani, Ajita, editor.
Roli, Fabio, editor.
Granger, Eric, editor.
Other Title Print version: Adaptive biometric systems. Cham : Springer, 2015 3319248634 9783319248639