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Hand-Based Biometrics. Security - Product Image

Hand-Based Biometrics. Security

  • ID: 4433546
  • Book
  • May 2018
  • IET Books
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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.

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  • Chapter 1: General introduction
  • Chapter 2: Inner hand physiology and diseases
  • Chapter 3: Outer hand physiology and diseases
  • Chapter 4: Nail structure and common disorders
  • Chapter 5: State of the art in fingerprint recognition
  • Chapter 6: Large-scale fingerprint recognition accelerated in hardware
  • Chapter 7: Processing of fingerprints influenced by skin diseases
  • Chapter 8: Generating synthetic fingerprints
  • Chapter 9: Robustness of finger-vein recognition
  • Chapter 10: An overview of palmvein biometrics
  • Chapter 11: Finger vein recognition and new processing approaches
  • Chapter 12: Hand shape recognition and palm-print recognition using 2D and 3D features
  • Chapter 13: New achievements in 3D hand shape recognition
  • Chapter 14: Antispoofing and multispectral (optical) methods in hand-based biometrics
  • Chapter 15: Spoofing methods in hand-based biometrics
  • Chapter 16: Antispoofing methods in hand-based biometrics
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Martin Drahanský Professor.
Brno University of Technology in Brno, Czech Republic.

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.

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