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 Understanding an Orogenic Belt by
Cover of the book Machine Learning and Data Mining in Pattern Recognition by
Cover of the book Ecology of Central European Forests by
Cover of the book Clinical Cases in Early Orthodontic Treatment by
Cover of the book Applied Mining Geology by
Cover of the book Azokh Cave and the Transcaucasian Corridor by
Cover of the book Cross-Cultural Design by
Cover of the book Autoethnographies on the Environment and Human Health by
Cover of the book Marine Organic Micropollutants by
Cover of the book Lifetime Environmental Impact of Buildings by
Cover of the book Digital Activism in the Social Media Era by
Cover of the book Constitutionalism in Ireland, 1932–1938 by
Cover of the book Justice, Education and the Politics of Childhood by
Cover of the book Branching Process Models of Cancer by
Cover of the book Encouraging Openness 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