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Handbook of Biometric Anti-Spoofing

Presentation Attack Detection

Gebonden Engels 2019 2e druk 9783319926261
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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 devicesincludes 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.

Specificaties

ISBN13:9783319926261
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing
Druk:2

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Inhoudsopgave

<p></p><p>An Introduction to Fingerprint Presentation Attack Detection<br> Julian Fierrez, Javier Galbally, Raffaele Cappelli, and Arun Ross</p><p>A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection<br> Kiran B. Raja, R. Raghavendra, Sushma Venkatesh, Marta Gomez-Barrero, Christian Rathgeb, and Christoph Busch</p><p>Optical Coherence Tomography for Fingerprint Presentation Attack Detection<br> Yaseen Moolla, Luke Darlow, Ameeth Sharma, Ann Singh, and Johan van der Merwe</p><p>Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection<br> P. Tuveri, L. Ghiani, M. Zurutuza, V. Mura, and G.L. Marcialis</p><p>Review of Fingerprint Presentation Attack Detection Competitions<br> David Yambay, Luca Ghiani, Gian Luca Marcialis. Fabio Roli, and Stephanie Schuckers</p><p>Introduction to Iris Presentation Attack Detection<br> Aythami Morales, Julian Fierrez, Javier Galbally, and Marta Gomez-Barrero</p><p>Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection<br> Adam Czajka and Benedict Becker</p><p>Review of Iris Presentation Attack Detection Competitions<br> David Yambay, Adam Czajka, Kevin Bowyer, Mayank Vatsa, Richa Singh, Afzel Noore, and Stephanie Schuckers</p><p>Introduction to Face Presentation Attack Detection<br> Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, and Javier Galbally</p><p>Recent Advances in Face Presentation Attack Detection<br> Sushil Bhattacharjee and Amir Mohammadi and André Anjos, and Sébastien Marcel</p>Recent Progress on Face Anti-Spoofing against 3D Mask Attack<br> Si-Qi Liu, Pong C. Yuen, Xiaobai Li, and Guoying Zhao<p></p><p>Challenges of Face Presentation Attack Detection in Real Scenarios<br> Artur Costa-Pazo, Esteban Vazquez-Fernandez, Jos´e Luis Alba-Castro, and Daniel González-Jiménez</p><p>Remote Blood Pulse Analysis for Face Presentation Attack Detection<br> Guillaume Heusch and Sébastien Marcel</p><p>Review of Face Presentation Attack Detection Competitions<br> Jukka Komulainen, Zinelabidine Boulkenafet, and Zahid Akhtar</p><p>Introduction to Voice Presentation Attack Detection and Recent Advances<br> Md Sahidullah, Héctor Delgado, Massimiliano Todisco, Tomi Kinnunen, Nicholas Evans, Junichi Yamagishi, and Kong-Aik Lee</p><p>A Cross-Database Study of Voice Presentation Attack Detection<br> Pavel Korshunov and Sébastien Marcel</p><p>Voice Presentation Attack Detection Using Convolutional Neural Networks<br> Ivan Himawan, Srikanth Madikeri, Petr Motlicek, Milos Cernak, Sridha Sridharan, and Clinton Fookes</p><p>An Introduction to Vein Presentation Attacks and Detection<br> André Anjos, Pedro Tomé and Sébastien Marcel</p><p>Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection<br> Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, and Javier Ortega-Garcia</p><p>Evaluation Methodologies for Biometric Presentation Attack Detection<br> Ivana Chingovska, Amir Mohammadi, André Anjos, and Sébastien Marcel</p><p>A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR<br> E. J. Kindt</p><p> </p>Standards for Biometric Presentation Attack Detection<br> Christoph Busch<p></p><p></p>

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        Handbook of Biometric Anti-Spoofing