Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset

Vascular pattern based biometric recognition is gaining more and more attention, with a trend towards contactless acquisition. An important requirement for conducting research in vascular pattern recognition are available datasets. These datasets can be established using a suitable biometric capturi...

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Main Authors: Christof Kauba, Bernhard Prommegger, Andreas Uhl
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/22/5014
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spelling doaj-74a36e71eb7a49139be93e871deb02652020-11-25T02:21:51ZengMDPI AGSensors1424-82202019-11-011922501410.3390/s19225014s19225014Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding DatasetChristof Kauba0Bernhard Prommegger1Andreas Uhl2Department of Computer Sciences, University of Salzburg, Jakob-Haringer-Str. 2, 5020 Salzburg, AustriaDepartment of Computer Sciences, University of Salzburg, Jakob-Haringer-Str. 2, 5020 Salzburg, AustriaDepartment of Computer Sciences, University of Salzburg, Jakob-Haringer-Str. 2, 5020 Salzburg, AustriaVascular pattern based biometric recognition is gaining more and more attention, with a trend towards contactless acquisition. An important requirement for conducting research in vascular pattern recognition are available datasets. These datasets can be established using a suitable biometric capturing device. A sophisticated capturing device design is important for good image quality and, furthermore, at a decent recognition rate. We propose a novel contactless capturing device design, including technical details of its individual parts. Our capturing device is suitable for finger and hand vein image acquisition and is able to acquire palmar finger vein images using light transmission as well as palmar hand vein images using reflected light. An experimental evaluation using several well-established vein recognition schemes on a dataset acquired with the proposed capturing device confirms its good image quality and competitive recognition performance. This challenging dataset, which is one of the first publicly available contactless finger and hand vein datasets, is published as well.https://www.mdpi.com/1424-8220/19/22/5014finger vein recognitionhand vein recognitioncontactless acquisition devicepublic vascular pattern datasetbiometric recognition performance evaluation
collection DOAJ
language English
format Article
sources DOAJ
author Christof Kauba
Bernhard Prommegger
Andreas Uhl
spellingShingle Christof Kauba
Bernhard Prommegger
Andreas Uhl
Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset
Sensors
finger vein recognition
hand vein recognition
contactless acquisition device
public vascular pattern dataset
biometric recognition performance evaluation
author_facet Christof Kauba
Bernhard Prommegger
Andreas Uhl
author_sort Christof Kauba
title Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset
title_short Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset
title_full Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset
title_fullStr Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset
title_full_unstemmed Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset
title_sort combined fully contactless finger and hand vein capturing device with a corresponding dataset
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-11-01
description Vascular pattern based biometric recognition is gaining more and more attention, with a trend towards contactless acquisition. An important requirement for conducting research in vascular pattern recognition are available datasets. These datasets can be established using a suitable biometric capturing device. A sophisticated capturing device design is important for good image quality and, furthermore, at a decent recognition rate. We propose a novel contactless capturing device design, including technical details of its individual parts. Our capturing device is suitable for finger and hand vein image acquisition and is able to acquire palmar finger vein images using light transmission as well as palmar hand vein images using reflected light. An experimental evaluation using several well-established vein recognition schemes on a dataset acquired with the proposed capturing device confirms its good image quality and competitive recognition performance. This challenging dataset, which is one of the first publicly available contactless finger and hand vein datasets, is published as well.
topic finger vein recognition
hand vein recognition
contactless acquisition device
public vascular pattern dataset
biometric recognition performance evaluation
url https://www.mdpi.com/1424-8220/19/22/5014
work_keys_str_mv AT christofkauba combinedfullycontactlessfingerandhandveincapturingdevicewithacorrespondingdataset
AT bernhardprommegger combinedfullycontactlessfingerandhandveincapturingdevicewithacorrespondingdataset
AT andreasuhl combinedfullycontactlessfingerandhandveincapturingdevicewithacorrespondingdataset
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