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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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.
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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.- 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-VeinRecognition 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.
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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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Is the first comprehensive volume dedicated to vascular biometrics Focuses on reproducible research, enabling readers to actively use the material presented Provides expert perspectives from both academia and industry
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
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Produktdetaljer

ISBN
9783030277338
Publisert
2020-09-11
Utgiver
Vendor
Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Biographical note

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.