Adaptive Biometric Systems

Recent Advances and Challenges

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Technology, Electronics, General Computing
Cover of the book Adaptive Biometric Systems by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319248653
Publisher: Springer International Publishing Publication: October 22, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319248653
Publisher: Springer International Publishing
Publication: October 22, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Fundamentals of Software Engineering by
Cover of the book Introduction to Gastrointestinal Diseases Vol. 1 by
Cover of the book Faith 7 by
Cover of the book Dynamic Optimization by
Cover of the book Wireless Communications for Power Substations: RF Characterization and Modeling by
Cover of the book The Political Economy of Change and Continuity in Korea by
Cover of the book Pedestrian Fall Safety Assessments by
Cover of the book Riemannian Computing in Computer Vision by
Cover of the book Brain-Inspired Computing by
Cover of the book The Road to Discovery by
Cover of the book Trade Marks and Free Trade by
Cover of the book Stable Isotope Geochemistry by
Cover of the book Sociolinguistics in African Contexts by
Cover of the book The Credibility of Sovereignty – The Political Fiction of a Concept by
Cover of the book Enacting Values-Based Change by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy