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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 spoofing and anti-spoofing methods.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.
Martin Drahanský is a professor and principal researcher in the research group STRaDe at the Faculty of Information Technology, Brno University of Technology. His research topics include biometrics, security and cryptography, artificial intelligence and sensoric systems.
Chapter 1: General introductionChapter 2: Inner hand physiology and diseasesChapter 3: Outer hand physiology and diseasesChapter 4: Nail structure and common disordersChapter 5: State of the art in fingerprint recognitionChapter 6: Large-scale fingerprint recognition accelerated in hardwareChapter 7: Processing of fingerprints influenced by skin diseasesChapter 8: Generating synthetic fingerprintsChapter 9: Robustness of finger-vein recognitionChapter 10: An overview of palmvein biometricsChapter 11: Finger vein recognition and new processing approachesChapter 12: Hand shape recognition and palm-print recognition using 2D and 3D featuresChapter 13: New achievements in 3D hand shape recognitionChapter 14: Antispoofing and multispectral (optical) methods in hand-based biometricsChapter 15: Spoofing methods in hand-based biometricsChapter 16: Antispoofing methods in hand-based biometrics