大葉大學圖書館 |

Adaptive biometric systems[electronic resource] :recent advances and challenges /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	006.4
タイトル / 著者:	Adaptive biometric systems : recent advances and challenges // edited by Ajita Rattani, Fabio Roli, Eric Granger.
その他の著者:	Roli, Fabio.
出版された:	Cham : : Springer International Publishing :, 2015.
記述:	x, 134 p. : : ill., digital ;; 24 cm.
含まれています:	Springer eBooks
主題:	Biometric identification.
主題:	Identification - Automation.
主題:	Computer networks - Access control.
主題:	Computer Science.
主題:	Biometrics.
主題:	Pattern Recognition.
主題:	Signal, Image and Speech Processing.
主題:	Artificial Intelligence (incl. Robotics)
国際標準図書番号 (ISBN) :	9783319248653
国際標準図書番号 (ISBN) :	9783319248639
[NT 15000229] null:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-24865-3

Adaptive biometric systems[electronic resource] :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:

342621
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.4

Adaptive biometric systems[electronic resource] :recent advances and challenges /
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