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Handbook of Biometric Anti-Spoofing

Presentation Attack Detection and Vulnerability Assessment
BuchKartoniert, Paperback
595 Seiten
Englisch
Springererschienen am26.02.20243. Aufl.
The third edition of 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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR101,64
BuchGebunden
EUR246,09
BuchKartoniert, Paperback
EUR246,09

Produkt

KlappentextThe third edition of 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.
Details
ISBN/GTIN978-981-19-5290-6
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum26.02.2024
Auflage3. Aufl.
Seiten595 Seiten
SpracheEnglisch
Gewicht920 g
IllustrationenXIX, 595 p. 157 illus., 137 illus. in color.
Artikel-Nr.55870158

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Autor

Prof. Sébastien Marcel is a Senior Researcher and Head of the Biometrics Security and Privacy Group at the Idiap Research Institute, Martigny, Switzerland. He is a Lecturer at École polytechnique fédérale de Lausanne (EPFL) and Professor at the Université de Lausanne (UNIL). He is also the Director of the Swiss Center for Biometrics Research and Testing. He was Vice-President Conferences of the IEEE Biometrics Council, and the Project Coordinator of the EC-funded TABULA RASA (Trusted Biometrics under Spoofing Attacks) and BEAT (Biometrics Evaluation and Testing) projects.


Prof. Julian Fierrez is a full Professor in the School of Engineering (EPS) at the Autonomous University of Madrid (UAM), Spain. He is Vice-Chair of the IAPR Technical Committee on Biometrics (TC4), has participated in large EU projects focused on biometrics since 2003 (most notably BIOSEC, BIOSECURE, TABULA RASA, and BEAT), and has received a number of best paper awards and other prestigious research distinctions, including the IAPR Young Biometrics Investigator Award 2017.


Prof. Nicholas Evans is a Professor at EURECOM, Biot, France where he heads research in Audio Security and Privacy within the Digital Security Department. He participated in the EU BIOSECURE, TABULA RASA, OCTAVE and TReSPAsS-ETN projects and is among the co-founders of the ASVspoof (2015-2021) and SASV (2022) initiatives and challenge series relating to spoofing-robust voice biometrics.