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BuchGebunden
533 Seiten
Englisch
Springererschienen am25.11.20191st ed. 2020
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.mehr
Verfügbare Formate
BuchGebunden
EUR53,49
BuchKartoniert, Paperback
EUR53,49

Produkt

KlappentextThis 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.
Zusammenfassung
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
Details
ISBN/GTIN978-3-030-27730-7
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2019
Erscheinungsdatum25.11.2019
Auflage1st ed. 2020
ReiheAdvances in Computer Vision and Pattern Recognition
Seiten533 Seiten
SpracheEnglisch
Gewicht936 g
IllustrationenXVIII, 533 p. 197 illus., 149 illus. in color.
Artikel-Nr.46770898

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Autor

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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Herausgegeben:Uhl, Andreas