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Adaptive Biometric Systems: Recent Advances and Challenges de Ajita Rattani

Adaptive Biometric Systems: Recent Advances and Challenges: Advances in Computer Vision and Pattern Recognition

Editat de Ajita Rattani, Fabio Roli, Eric Granger
en Limba Engleză Hardback – 4 noi 2015
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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Specificații

ISBN-13: 9783319248639
ISBN-10: 3319248634
Pagini: 134
Ilustrații: X, 134 p. 44 illus., 24 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition

Locul publicării:Cham, Switzerland

Cuprins

Introduction to Adaptive Biometric Systems.- Context-Sensitive Self-Updating for Adaptive Face Recognition.- Handling Session Mismatch by Semi-Supervised Based Co-Training Scheme.- A Hybrid CRF/HMM for One-Shot Gesture Learning.- An Online Learning-Based Adaptive Biometric System.- Adaptive Facial Recognition Under Aging Effect.- An Adaptive Score Level Fusion Scheme for Multimodal Biometric Systems.

Notă biografică

Dr. Ajita Rattani is a post-doctoral fellow in the Integrated Pattern Recognition and Biometrics (i-PRoBe) lab at Michigan State University, East Lansing, MI, USA. Dr. Fabio Roli is a professor of computer engineering and the Director of the Pattern Recognition and Applications (PRA) lab at the University of Cagliari, Italy. Dr. Eric Granger is a professor in the Department of Automated Manufacturing Engineering and the Director of the Laboratory for Imagery, Vision and Artificial Intelligence at the École de technologie supérieure (ÉTS), Montréal, QC, Canada.

Textul de pe ultima copertă

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.

    Caracteristici

    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