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Adaptive biometric systems = recent ...

Rattani, Ajita.

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Adaptive biometric systems = recent advances and challenges /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive biometric systems/ edited 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

Adaptive biometric systems = recent 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

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

729691
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.4

Adaptive biometric systems = recent advances and challenges /
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245 0 0 $a Adaptive biometric systems $h [electronic resource] : $b recent advances and challenges / $c edited by Ajita Rattani, Fabio Roli, Eric Granger.
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300 $a x, 134 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
520 $a 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.
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650 0 $a Identification $x Automation. $3 729692
650 0 $a Computer networks $x Access control. $3 729719
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650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Rattani, Ajita. $3 2162437
700 1 $a Roli, Fabio. $3 893361
700 1 $a Granger, Eric. $3 2162438
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