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Andreas Uhl & Christoph Busch 
Handbook of Vascular Biometrics 

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Cover of Andreas Uhl & Christoph Busch: Handbook of Vascular Biometrics (PDF)

This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.

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Table of Content

Part I: Introduction – 1. State of the Art in Vascular Biometrics.- 2. A High Quality Finger Vein Dataset Collected using a Custom Designed Capture Device.- 3. Open Vein – An Open Source Modular Multi-Purpose Finger-vein Scanner Design.- 4. An Available Open Source Vein Recognition Framework.
Part II: Hand and Finger Vein Biometrcis – 5. Use Case of Palm Vein Authentication.- 6. Evolution of Finger Vein Biometric Devices in Terms of Usability. 7. Towards Understanding Acquisition Conditions Influencing Finger-Vein Recognition.- 8. Improved CNN-Segmentation based Finger-Vein

Recognition Using Automatically Generated and Fused Training Labels.- 9. Efficient Identification in Large-Scale Vein Recognition Systems using Spectral Minutiae Representations.- 10. Different Views on the Finger – Score Level Fusion in Multi-Perspective vein Recognition.
Part III: Sclera and Retina Bioemtrics – 11. Retinal Vascular Characteristics. 12. Vascular Biometric Graph Comparison: Theory and performance.- 13. Deep Sclera Segmentation and Recognition.
Part IV: Security and Privacy in Vascular Biometrics – 14. Presentation Attack Detection for Finger Recognition.- 15. Fingervein Templates.- 16. Cancellable Biometrics for Finger Vein Recognition – Application in the Feature Domain.- 17. Towards Measuring the Amount of Discriminatory Information in Fingervein Biometric Characteristics Using a Relative Entropy Estimator.

About the author

Dr. Andreas Uhl is a Full Professor for Computer Science at the Department of Computer Science at the University of Salzburg, Austria and leads the Multimedia Signal Processing and Security Lab. His other publications include the Springer title Iris Biometrics: From Segmentation to Template Security and and Image and Video Encryption: From Digital Rights Management to Secured Personal Communication
Dr. Christoph Busch is a member of the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU), Norway, and of the Computer science faculty at Hochschule Darmstadt (HDA), Germany. He also lectures in Biometric Systems at the Technical University of Denmark (DTU).
Dr Sébastien Marcel is a Senior Researcher and Head of the Biometrics Security and Privacy group at the Idiap Research Institute, Martigny, Switzerland. His other publications include the Springer title Handbook of Biometric Anti-Spoofing.

Dr. Raymond Veldhuis is a Full Professor of Biometric Pattern Recognition in the Data Management and Biometrics group at the University of Twente, Enschede, The Netherlands.
Language English ● Format PDF ● Pages 533 ● ISBN 9783030277314 ● File size 18.4 MB ● Age 02-99 years ● Editor Andreas Uhl & Christoph Busch ● Publisher Springer International Publishing ● City Cham ● Country CH ● Published 2019 ● Downloadable 24 months ● Currency EUR ● ID 7266535 ● Copy protection Adobe DRM
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