Handbook of Vascular Biometrics / edited by Andreas Uhl, Christoph Busch, Sébastien Marcel, Raymond Veldhuis.

Format:

Book

Contributor:

Uhl, Andreas, 1968- editor.

Busch, Christoph, editor.

Marcel, Sébastien, editor.

Veldhuis, Raymond, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Advances in computer vision and pattern recognition 2191-6586

Advances in Computer Vision and Pattern Recognition, 2191-6586

Language:

English

Subjects (All):

Biometry.

Computer security.

User interfaces (Computer systems).

Biometrics.

Systems and Data Security.

User Interfaces and Human Computer Interaction.

Local Subjects:

Biometrics.

Systems and Data Security.

User Interfaces and Human Computer Interaction.

Physical Description:

1 online resource (XVIII, 533 pages) : 197 illustrations, 149 illustrations in color.

Edition:

First edition 2020.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, id est 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.

Contents:

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-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.

Other Format:

Printed edition:

ISBN:

978-3-030-27731-4

9783030277314

9783030277307

9783030277321

9783030277338

Access Restriction:

Restricted for use by site license.