國立高雄大學圖資館 |

Language: English

Back

Handbook of biometric anti-spoofingp...

Marcel, Sebastien.

Handbook of biometric anti-spoofingpresentation attack detection /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of biometric anti-spoofingedited by Sebastien Marcel ... [et al.].
Reminder of title:	presentation attack detection /
other author:	Marcel, Sebastien.
Published:	Cham :Springer International Publishing :2019.
Description:	xx, 519 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Biometric identificationCongresses.
Online resource:	https://doi.org/10.1007/978-3-319-92627-8
ISBN:	9783319926278$q(electronic bk.)

Handbook of biometric anti-spoofingpresentation attack detection /
Handbook of biometric anti-spoofingpresentation attack detection /[electronic resource] :edited by Sebastien Marcel ... [et al.]. - 2nd ed. - Cham :Springer International Publishing :2019. - xx, 519 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

An Introduction to Fingerprint Presentation Attack Detection -- A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection -- Optical Coherence Tomography for Fingerprint Presentation Attack Detection -- Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection -- Review of Fingerprint Presentation Attack Detection Competitions -- Introduction to Iris Presentation Attack Detection -- Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection -- Review of Iris Presentation Attack Detection Competitions -- Introduction to Face Presentation Attack Detection -- Recent Advances in Face Presentation Attack Detection -- Recent Progress on Face Anti-Spoofing against 3D Mask Attack -- Challenges of Face Presentation Attack Detection in Real Scenarios -- Remote Blood Pulse Analysis for Face Presentation Attack Detection -- Review of Face Presentation Attack Detection Competitions -- Introduction to Voice Presentation Attack Detection and Recent Advances -- A Cross-Database Study of Voice Presentation Attack Detection -- Voice Presentation Attack Detection Using Convolutional Neural Networks -- An Introduction to Vein Presentation Attacks and Detection -- Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection -- Evaluation Methodologies for Biometric Presentation Attack Detection -- A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR -- Standards for Biometric Presentation Attack Detection.

This authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) - also known as Biometric Anti-Spoofing. Building on the success of the previous, pioneering edition, this thoroughly updated second edition has been considerably expanded to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: Reviews the latest developments in PAD for fingerprint biometrics, covering optical coherence tomography (OCT) technology, and issues of interoperability Examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose Discusses advancements in PAD methods for face recognition-based biometrics, such as research on 3D facial masks and remote photoplethysmography (rPPG) Presents a survey of PAD for automatic speaker recognition (ASV), including the use of convolutional neural networks (CNNs), and an overview of relevant databases Describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and software-based face anti-spoofing Provides analyses of PAD in fingervein recognition, online handwritten signature verification, and in biometric technologies on mobile devices Includes coverage of international standards, the E.U. PSDII and GDPR directives, and on different perspectives on presentation attack evaluation This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics.

ISBN: 9783319926278$q(electronic bk.)

Standard No.: 10.1007/978-3-319-92627-8doiSubjects--Topical Terms:

442646
Biometric identification
--Congresses.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.24

Handbook of biometric anti-spoofingpresentation attack detection /
LDR:04910nmm a2200349 a 4500 001 555178
003 DE-He213
005 20190101140151.0
006 m d
007 cr nn 008maaau
008 191121s2019 gw s 0 eng d
020 $a 9783319926278$q(electronic bk.)
020 $a 9783319926261$q(paper)
024 7 $a 10.1007/978-3-319-92627-8 $2 doi
035 $a 978-3-319-92627-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.B56
072 7 $a UYD $2 bicssc
072 7 $a COM074000 $2 bisacsh
072 7 $a UYD $2 thema
082 0 4 $a 006.24 $2 23
090 $a TK7882.B56 $b H236 2019
245 0 0 $a Handbook of biometric anti-spoofing $h [electronic resource] : $b presentation attack detection / $c edited by Sebastien Marcel ... [et al.].
250 $a 2nd ed.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xx, 519 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a An Introduction to Fingerprint Presentation Attack Detection -- A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection -- Optical Coherence Tomography for Fingerprint Presentation Attack Detection -- Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection -- Review of Fingerprint Presentation Attack Detection Competitions -- Introduction to Iris Presentation Attack Detection -- Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection -- Review of Iris Presentation Attack Detection Competitions -- Introduction to Face Presentation Attack Detection -- Recent Advances in Face Presentation Attack Detection -- Recent Progress on Face Anti-Spoofing against 3D Mask Attack -- Challenges of Face Presentation Attack Detection in Real Scenarios -- Remote Blood Pulse Analysis for Face Presentation Attack Detection -- Review of Face Presentation Attack Detection Competitions -- Introduction to Voice Presentation Attack Detection and Recent Advances -- A Cross-Database Study of Voice Presentation Attack Detection -- Voice Presentation Attack Detection Using Convolutional Neural Networks -- An Introduction to Vein Presentation Attacks and Detection -- Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection -- Evaluation Methodologies for Biometric Presentation Attack Detection -- A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR -- Standards for Biometric Presentation Attack Detection.
520 $a This authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) - also known as Biometric Anti-Spoofing. Building on the success of the previous, pioneering edition, this thoroughly updated second edition has been considerably expanded to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: Reviews the latest developments in PAD for fingerprint biometrics, covering optical coherence tomography (OCT) technology, and issues of interoperability Examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose Discusses advancements in PAD methods for face recognition-based biometrics, such as research on 3D facial masks and remote photoplethysmography (rPPG) Presents a survey of PAD for automatic speaker recognition (ASV), including the use of convolutional neural networks (CNNs), and an overview of relevant databases Describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and software-based face anti-spoofing Provides analyses of PAD in fingervein recognition, online handwritten signature verification, and in biometric technologies on mobile devices Includes coverage of international standards, the E.U. PSDII and GDPR directives, and on different perspectives on presentation attack evaluation This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics.
650 0 $a Biometric identification $v Congresses. $3 442646
650 0 $a Impersonation $v Handbooks, manuals, etc. $3 683624
650 1 4 $a System Performance and Evaluation. $3 273898
650 2 4 $a Biometrics. $3 274525
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
700 1 $a Marcel, Sebastien. $3 683623
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in computer vision and pattern recognition. $3 559645
856 4 0 $u https://doi.org/10.1007/978-3-319-92627-8
950 $a Computer Science (Springer-11645)