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Synopsis
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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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.
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- PublisherSpringer
- Publication date2019
- ISBN 10 3030277305
- ISBN 13 9783030277307
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages551
- EditorUhl Andreas, Busch Christoph, Marcel Sébastien, Veldhuis Raymond
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Handbook of Vascular Biometrics
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ISBN 10: 3030277305
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 552 pp. Englisch. Seller Inventory # 9783030277307
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Handbook of Vascular Biometrics
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783030277307
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Handbook of Vascular Biometrics
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 industryOpen Access. Seller Inventory # 336495398
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