Instant download Hand Based Biometrics Methods and technology pdf, docx, kindle format all chapters after payment.
Product details:
- ISBN 10: 1785612247
- ISBN 13: 978-1785612244
- Author: Martin Drahanský
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.
Table contents:
Part 1. General introduction
Part 2. Inner hand physiology and diseases
Part 3. Outer hand physiology and diseases
Part 4. Nail structure and common disorders
Part 5. State of the art in fingerprint recognition
Part 6. Large-scale fingerprint recognition accelerated in hardware
Part 7. Processing of fingerprints influenced by skin diseases
Part 8. Generating synthetic fingerprints
Part 9. Robustness of finger-vein recognition
Part 10. An overview of palmvein biometrics
Part 11. Finger vein recognition and new processing approaches
Part 12. Hand shape recognition and palm-print recognition using 2D and 3D features
Part 13. New achievements in 3D hand shape recognition
Part 14. Antispoofing and multispectral (optical) methods in hand-based biometrics
Part 15. Spoofing methods in hand-based biometrics
Part 16. Antispoofing methods in hand-based biometrics
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