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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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