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Handbook of vascular biometrics

Uhl, Andreas.

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Handbook of vascular biometrics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of vascular biometrics/ edited by Andreas Uhl ... [et al.].
other author:	Uhl, Andreas.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xviii, 533 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Biometric identification - Handbooks, manuals, etc. -
Online resource:	https://doi.org/10.1007/978-3-030-27731-4
ISBN:	9783030277314

Handbook of vascular biometrics
Handbook of vascular biometrics[electronic resource] /edited by Andreas Uhl ... [et al.]. - Cham :Springer International Publishing :2020. - xviii, 533 p. :ill. (some col.), digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

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.

Open access.

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.

ISBN: 9783030277314

Standard No.: 10.1007/978-3-030-27731-4doiSubjects--Topical Terms:

3221308
Biometric identification
--Handbooks, manuals, etc.

LC Class. No.: TK7882.B56 / H35 2020

Dewey Class. No.: 006.2483

Handbook of vascular biometrics
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020 $a 9783030277314 $q (electronic bk.)
020 $a 9783030277307 $q (paper)
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245 0 0 $a Handbook of vascular biometrics $h [electronic resource] / $c edited by Andreas Uhl ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xviii, 533 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a 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.
506 $a Open access.
520 $a 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.
650 0 $a Biometric identification $v Handbooks, manuals, etc. $3 3221308
650 1 4 $a Biometrics. $3 898232
650 2 4 $a Systems and Data Security. $3 898223
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
700 1 $a Uhl, Andreas. $3 893344
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in computer vision and pattern recognition. $3 1567575
856 4 0 $u https://doi.org/10.1007/978-3-030-27731-4
950 $a Computer Science (Springer-11645)