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Adaptive Biometric Systems

  • Livre Relié
  • 144 Nombre de pages
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This interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptiv... Lire la suite
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Description

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



Auteur

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.



Contenu

Introduction to Adaptive Biometric Systems
Ajita Rattani

Context-Sensitive Self-Updating for Adaptive Face Recognition
C. Pagano, E. Granger, R. Sabourin, P. Tuveri, G.L. Marcialis and F. Roli

Handling Session Mismatch by Semi-Supervised Based Co-Training Scheme
Norman Poh, Joseph Kittler and Ajita Rattani

A Hybrid CRF/HMM for One-Shot Gesture Learning
Selma Belgacem, Clement Chatelain and Thierry Paquet

An Online Learning-Based Adaptive Biometric System
A. Das, R. Kunwar, U. Pal, M. A. Ferrer and M. Blumenstein

Adaptive Facial Recognition Under Aging Effect
Zahid Akhtar, Amr Ahmed, Cigdem Eroglu Erdem and Gian Luca Foresti

An Adaptive Score Level Fusion Scheme for Multimodal Biometric Systems
Kamlesh Tiwari and Phalguni Gupta

Informations sur le produit

Titre: Adaptive Biometric Systems
Éditeur:
Code EAN: 9783319248639
ISBN: 3319248634
Format: Livre Relié
Editeur: Springer International Publishing
Genre: Logiciels utilisateurs
nombre de pages: 144
Poids: 389g
Taille: H241mm x B160mm x T14mm
Année: 2015
Auflage: 1st ed. 2015

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