Handbook of Biometric Anti-Spoofing

Presentation Attack Detection and Vulnerability Assessment
Third Auflage 2023
ISBN: 978-981-19-5290-6
Verlag: Springer Nature Singapore

Buch, Englisch, 595 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 920 g

Reihe: Advances in Computer Vision and Pattern Recognition

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. Building on the success of the previous editions, this thoroughly updated third edition has been considerably revised 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 recent technologies like Vision Transformers, and review of competition series; examines methods for PAD in iris recognition systems, the use of pupil size measurement or multiple spectra for this purpose; discusses advancements in PAD methods for face recognition-based biometrics, such as recent progress on detection of 3D facial masks and the use of multiple spectra with Deep Neural Networks; presents an analysis of PAD for automatic speaker recognition (ASV), including a study of the generalization to unseen attacks; describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and face anti-spoofing; provides analyses of PAD in finger-vein recognition, in signature biometrics, and in mobile biometrics; includes coverage of international standards in PAD and legal aspects of image manipulations like morphing.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.

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.

Zielgruppe

Research

Autoren/Hrsg.

Marcel, Sébastien

Evans, Nicholas

Fierrez, Julian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Computerkriminalität & Hacking

Inhaltsverzeichnis

An Introduction to Fingerprint Presentation Attack Detection

Julian Fierrez, Javier Galbally, Raffaele Cappelli, and Arun Ross

A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection
Kiran B. Raja, R. Raghavendra, Sushma Venkatesh, Marta Gomez-Barrero, Christian Rathgeb, and Christoph Busch

Optical Coherence Tomography for Fingerprint Presentation Attack Detection
Yaseen Moolla, Luke Darlow, Ameeth Sharma, Ann Singh, and Johan van der Merwe

Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection
P. Tuveri, L. Ghiani, M. Zurutuza, V. Mura, and G.L. Marcialis

Review of Fingerprint Presentation Attack Detection Competitions
David Yambay, Luca Ghiani, Gian Luca Marcialis. Fabio Roli, and Stephanie Schuckers

Introduction to Iris Presentation Attack Detection
Aythami Morales, Julian Fierrez, Javier Galbally, and Marta Gomez-Barrero

Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection
Adam Czajka and Benedict Becker

Review of Iris Presentation Attack Detection Competitions
David Yambay, Adam Czajka, Kevin Bowyer, Mayank Vatsa, Richa Singh, Afzel Noore, and Stephanie Schuckers

Introduction to Face Presentation Attack Detection
Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, and Javier Galbally

Recent Advances in Face Presentation Attack Detection
Sushil Bhattacharjee and Amir Mohammadi and André Anjos, and Sébastien Marcel

Recent Progress on Face Anti-Spoofing against 3D Mask Attack
Si-Qi Liu, Pong C. Yuen, Xiaobai Li, and Guoying Zhao

Challenges of Face Presentation Attack Detection in Real Scenarios
Artur Costa-Pazo, Esteban Vazquez-Fernandez, Jos´e Luis Alba-Castro, and Daniel González-Jiménez

Remote Blood Pulse Analysis for Face Presentation Attack Detection
Guillaume Heusch and Sébastien Marcel

Review of Face Presentation Attack Detection Competitions
Jukka Komulainen, Zinelabidine Boulkenafet, and Zahid Akhtar

Introduction to Voice Presentation Attack Detection and Recent Advances
Md Sahidullah, Héctor Delgado, Massimiliano Todisco, Tomi Kinnunen, Nicholas Evans, Junichi Yamagishi, and Kong-Aik Lee

A Cross-Database Study of Voice Presentation Attack Detection
Pavel Korshunov and Sébastien Marcel

Voice Presentation Attack Detection Using Convolutional Neural Networks
Ivan Himawan, Srikanth Madikeri, Petr Motlicek, Milos Cernak, Sridha Sridharan, and Clinton Fookes

An Introduction to Vein Presentation Attacks and Detection
André Anjos, Pedro Tomé and Sébastien Marcel

Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection
Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, and Javier Ortega-Garcia

Evaluation Methodologies for Biometric Presentation Attack Detection
Ivana Chingovska, Amir Mohammadi, André Anjos, and Sébastien Marcel

A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR
E. J. Kindt

Standards for Biometric Presentation Attack Detection
Christoph Busch

Über Autor(innen)

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.