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E-raamat: Handbook of Biometric Anti-Spoofing: Presentation Attack Detection

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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.
Part I Fingerprint Biometrics
1 An Introduction to Fingerprint Presentation Attack Detection
3(30)
Javier Galbally
Julian Fierrez
Raffaele Cappelli
2 A Study of Hand-Crafted and Naturally Learned Features for Fingerprint Presentation Attack Detection
33(16)
Kiran B. Raja
R. Raghavendra
Sushma Venkatesh
Marta Gomez-Barrero
Christian Rathgeb
Christoph Busch
3 Optical Coherence Tomography for Fingerprint Presentation Attack Detection
49(22)
Yaseen Moolla
Luke Darlow
Ameeth Sharma
Ann Singh
Johan van der Merwe
4 Interoperability Among Capture Devices for Fingerprint Presentation Attacks Detection
71(38)
Pierliugi Tuveri
L. Ghiani
Mikel Zurutuza
V. Mura
G. L. Marcialis
5 Review of Fingerprint Presentation Attack Detection Competitions
109(26)
David Yambay
Luca Ghiani
Gian Luca Marcialis
Fabio Roli
Stephanie Schuckers
Part II Iris Biometrics
6 Introduction to Iris Presentation Attack Detection
135(16)
Aythami Morales
Julian Fierrez
Javier Galbally
Marta Gomez-Barrero
7 Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection
151(18)
Adam Czajka
Benedict Becker
8 Review of Iris Presentation Attack Detection Competitions
169(18)
David Yambay
Adam Czajka
Kevin Bowyer
Mayank Vatsa
Richa Singh
Afzel Noore
Naman Kohli
Daksha Yadav
Stephanie Schuckers
Part II Face Biometrics
9 Introduction to Face Presentation Attack Detection
187(20)
Javier Hernandez-Ortega
Julian Fierrez
Aythami Morales
Javier Galbally
10 Recent Advances in Face Presentation Attack Detection
207(22)
Sushil Bhattacharjee
Amir Mohammadi
Andre Anjos
Sebastien Marcel
11 Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks
229(18)
Si-Qi Liu
Pong C. Yuen
Xiaobai Li
Guoying Zhao
12 Challenges of Face Presentation Attack Detection in Real Scenarios
247(20)
Artur Costa-Pazo
Esteban Vazquez-Fernandez
Jose Luis Alba-Castro
Daniel Gonzalez-Jimenez
13 Remote Blood Pulse Analysis for Face Presentation Attack Detection
267(24)
Guillaume Heusch
Sebastien Marcel
14 Review of Face Presentation Attack Detection Competitions
291(30)
Jukka Komulainen
Zinelabidine Boulkenafet
Zahid Akhtar
Part IV Voice Biometrics
15 Introduction to Voice Presentation Attack Detection and Recent Advances
321(42)
Md Sahidullah
Hector Delgado
Massimiliano Todisco
Tomi Kinnunen
Nicholas Evans
Junichi Yamagishi
Kong-Aik Lee
16 A Cross-Database Study of Voice Presentation Attack Detection
363(28)
Pavel Korshunov
Sebastien Marcel
17 Voice Presentation Attack Detection Using Convolutional Neural Networks
391(28)
Ivan Himawan
Srikanth Madikeri
Petr Motlicek
Milos Cernak
Sridha Sridharan
Clinton Fookes
Part V Other Biometrics
18 An Introduction to Vein Presentation Attacks and Detection
419(20)
Andre Anjos
Pedro Tome
Sebastien Marcel
19 Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection
439(18)
Ruben Tolosana
Ruben Vera-Rodriguez
Julian Fierrez
Javier Ortega-Garcia
Part VI PAD Evaluation, Legal Aspects and Standards
20 Evaluation Methodologies for Biometric Presentation Attack Detection
457(24)
Ivana Chingovska
Amir Mohammadi
Andre Anjos
Sebastien Marcel
21 A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR
481(22)
Els J. Kindt
22 Standards for Biometric Presentation Attack Detection
503(12)
Christoph Busch
Glossary 515(2)
Index 517
Dr. Sébastien Marcel is a Senior Researcher and Head of the Biometrics Security and Privacy Group at the Idiap Research Institute, Martigny, Switzerland. He was the Project Coordinator of the EC-funded TABULA RASA (Trusted Biometrics under Spoofing Attacks) and BEAT (Biometrics Evaluation and Testing) projects. He is also the Director of the Swiss Center for Biometrics Research and Testing, a Lecturer at École polytechnique fédérale de Lausanne (EPFL) and Université de Lausanne (UNIL) and Vice-President Conferences of the IEEE Biometrics Council.





Prof. Mark S. Nixon is a Professor of Computer Vision in the School of Electronics and Computer Science at the University of Southampton, UK. He is a co-author of the Springer book Human Identification Based on Gait. He pioneered gait as a biometric, and later joined the pioneers of ear and of soft biometrics. He has worked with many international projects and conferences. He is the currentPresident of the IEEE Biometrics Council, Vice Chair IEEE PSPB, and a member of IAPR TC4 Biometrics.





Prof. Julian Fierrez is an Associate 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 an Associate Professor at EURECOM, Biot, France where he heads research in Speech and Audio Processing with the Digital Security Department. He led or co-led a number of recent special issues related to anti-spoofing, participated in the EU BIOSECURE, TABULA RASA and OCTAVE projects and is among the co-founders of the ASVspoof initiative and challenge series.