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Adaptive Biometric Systems: Recent Advances and Challenges

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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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Detail Information

Series Title

Advances in Computer Vision and Pattern Recognition

Call Number

006.3 ADA a

Publisher

Cham, Switzerland : Springer., 2015

Collation

X, 134

Language

English

ISBN/ISSN

978-3-319-24865-3

Classification

006.3

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Artificial Intelligence
Biometrics

Specific Detail Info

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Statement of Responsibility

Editor: Ajita Rattani, Fabio Roli, Eric Granger

Other Information

Cataloger

umi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-24865-3.pdf?pdf=button

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