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Handbook of Biometric Anti-Spoofing

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Cover of 'Handbook of Biometric Anti-Spoofing'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Fingerprint Presentation Attack Detection
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    Chapter 2 A Study of Hand-Crafted and Naturally Learned Features for Fingerprint Presentation Attack Detection
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    Chapter 3 Optical Coherence Tomography for Fingerprint Presentation Attack Detection
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    Chapter 4 Interoperability Among Capture Devices for Fingerprint Presentation Attacks Detection
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    Chapter 5 Review of Fingerprint Presentation Attack Detection Competitions
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    Chapter 6 Introduction to Iris Presentation Attack Detection
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    Chapter 7 Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection
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    Chapter 8 Review of Iris Presentation Attack Detection Competitions
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    Chapter 9 Introduction to Face Presentation Attack Detection
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    Chapter 10 Recent Advances in Face Presentation Attack Detection
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    Chapter 11 Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks
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    Chapter 12 Challenges of Face Presentation Attack Detection in Real Scenarios
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    Chapter 13 Remote Blood Pulse Analysis for Face Presentation Attack Detection
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    Chapter 14 Review of Face Presentation Attack Detection Competitions
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    Chapter 15 Introduction to Voice Presentation Attack Detection and Recent Advances
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    Chapter 16 A Cross-Database Study of Voice Presentation Attack Detection
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    Chapter 17 Voice Presentation Attack Detection Using Convolutional Neural Networks
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    Chapter 18 An Introduction to Vein Presentation Attacks and Detection
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    Chapter 19 Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection
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    Chapter 20 Evaluation Methodologies for Biometric Presentation Attack Detection
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    Chapter 21 A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR
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    Chapter 22 Standards for Biometric Presentation Attack Detection
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Title
Handbook of Biometric Anti-Spoofing
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-319-92627-8
ISBNs
978-3-31-992626-1, 978-3-31-992627-8
Editors

Sébastien Marcel, Mark S. Nixon, Julian Fierrez, Nicholas Evans

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 8%
Researcher 4 7%
Student > Master 3 5%
Student > Bachelor 1 2%
Other 1 2%
Other 2 3%
Unknown 44 73%
Readers by discipline Count As %
Computer Science 7 12%
Engineering 6 10%
Nursing and Health Professions 1 2%
Chemistry 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%
Unknown 44 73%