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Adaptive biometric systemsrecent adv...

Granger, Eric.

Adaptive biometric systemsrecent advances and challenges /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive biometric systemsedited by Ajita Rattani, Fabio Roli, Eric Granger.
Reminder of title:	recent advances and challenges /
other author:	Rattani, Ajita.
Published:	Cham :Springer International Publishing :2015.
Description:	x, 134 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Biometric identification.
Online resource:	http://dx.doi.org/10.1007/978-3-319-24865-3
ISBN:	9783319248653$q(electronic bk.)

Adaptive biometric systemsrecent advances and challenges /
Adaptive biometric systemsrecent advances and challenges /[electronic resource] :edited by Ajita Rattani, Fabio Roli, Eric Granger. - Cham :Springer International Publishing :2015. - x, 134 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

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.

ISBN: 9783319248653$q(electronic bk.)

Standard No.: 10.1007/978-3-319-24865-3doiSubjects--Topical Terms:

256971
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.4

Adaptive biometric systemsrecent advances and challenges /
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