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Hand-Based Biometrics: Methods and technology

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  • Book title: Hand-Based Biometrics: Methods and technology

  • Author:

  • Year: 2018

  • Format: Hardback

  • Product Code: PBSE0080

  • ISBN: 978-1-78561-224-4

  • Pagination: c.448pp

  • Stock Status: Pre-order

    The estimated arrival date is July 2018
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Description

Hand-based biometrics identifies users by unique features in their hands, such as fingerprints, palmprints, hand geometry, and finger and palm vein patterns. This book explores the range of technologies and methods under development and in use for hand-based biometrics, with evaluations of the advantages and performance of each. The inclusion of significant material on the relevant aspects of the physiology of the hand is a particularly useful and innovative feature.

Topics covered in this book include inner and outer hand physiology and diseases; nail structure and common disorders; fingerprint recognition; synthetic fingerprints; finger vein recognition; palm vein biometrics; hand shape recognition and palm print recognition; 3D hand shape recognition; and anti-spoofing and multispectral methods.

About the Editor

Martin Drahanský is a Professor at the Robotic research group and Head of Security Technology Research and Development at the Faculty of Information Technology at Brno University of Technology in Brno, Czech Republic. His research topics include biometrics, security and cryptography, artificial intelligence and sensoric systems.

Book readership

With contributions from an international panel of experts in this field, Hand-Based Biometrics is essential reading for researchers, students and engineers working in biometrics and security.

Book contents

This information is provisional and will be updated prior to publication

Chapter 1: General Introduction- Martin Drahanský, Svetlana Yanushkevich

Chapter 2: Inner Hand Physiology and Diseases- Marie Nováková, Ivana Hradilová-Svíženská

Chapter 3: Outer Hand Physiology and Diseases- Eva Březinová

Chapter 4: Nail structure and common disorders- Nick Johnson, K. Jeyapalan, Joseph Dias

Chapter 5: State of the art in fingerprint recognition- Martin Drahanský, Ondřej Kanich

Chapter 6: Large scale fingerprint recognition accelerated in hardware- Raffaele Cappelli, Matteo Ferrara, Davide Maltoni

Chapter 7: Processing of fingerprints influenced by skin diseases- Martin Drahanský

Chapter 8: Generating synthetic fingerprints- Raffaele Cappelli, Matteo Ferrara, Davide Maltoni

Chapter 9: Robustness of finger-vein recognition- Christof Kauba, Andreas Uhl

Chapter 10: An overview of palmvein biometrics- Mohanad Abukmeil, Gian Luca Marcialis, Sébastien Marcel

Chapter 11: Finger vein recognition and new processing approaches- Lu Yang, Gongping Yang

Chapter 12: Hand shape recognition and palmprint recognition using 2D and 3D features- Michal Dvořák, Martin Drahanský

Chapter 13: New achievements in 3D hand shape recognition- Jan Svoboda, Michael Bronstein

Chapter 14: Anti-spoofing and multispectral (optical) methods in hand-based biometrics- Mona Heidari, Tomáš Goldmann, Michal Dvořák, Martin Drahanský

Chapter 15: Spoofing methods in hand-based biometrics- Ondřej Kanich, Martin Drahanský

Chapter 16: Anti-spoofing methods in hand-based biometrics- Stephanie Schuckers, Robert Rowe

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