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

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

Material type
E-Book(소장)
Personal Author
Rattani, Ajita. Roli, Fabio. Granger, Eric.
Title Statement
Adaptive biometric systems [electronic resource] : recent advances and challenges / Ajita Rattani, Fabio Roli, Eric Granger, editors.
Publication, Distribution, etc
Cham :   Springer International Publishing :   Imprint: Springer,   2015.  
Physical Medium
1 online resource (x, 134 p.) : ill. (some col.).
Series Statement
Advances in computer vision and pattern recognition,2191-6586
ISBN
9783319248653
요약
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.
General Note
Title from e-Book title page.  
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Computer science. Biometric identification. Identification --Automation. Computer networks --Access control.
Short cut
URL
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020 ▼a 9783319248653
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050 4 ▼a QH323.5
082 0 4 ▼a 006.4 ▼2 23
084 ▼a 006.4 ▼2 DDCK
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245 0 0 ▼a Adaptive biometric systems ▼h [electronic resource] : ▼b recent advances and challenges / ▼c Ajita Rattani, Fabio Roli, Eric Granger, editors.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (x, 134 p.) : ▼b ill. (some col.).
490 1 ▼a Advances in computer vision and pattern recognition, ▼x 2191-6586
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer science.
650 0 ▼a Biometric identification.
650 0 ▼a Identification ▼x Automation.
650 0 ▼a Computer networks ▼x Access control.
700 1 ▼a Rattani, Ajita.
700 1 ▼a Roli, Fabio.
700 1 ▼a Granger, Eric.
830 0 ▼a Advances in computer vision and pattern recognition.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-24865-3
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.4 Accession No. E14028582 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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