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. 2019 Nov 17;19(22):5014.
doi: 10.3390/s19225014.

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

Christof Kauba  1 , Bernhard Prommegger  1 , Andreas Uhl  1
Affiliations

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

Christof Kauba et al. Sensors (Basel). .

Abstract

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.

Keywords: biometric recognition performance evaluation; contactless acquisition device; finger vein recognition; hand vein recognition; public vascular pattern dataset.

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Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Figures

Figure 1
Figure 1
Light source and image sensor positioning, left: light transmission, right: reflected light.
Figure 2
Figure 2
Contactless finger and hand vein capturing device, from left to right: device in use during acquisition, side view with annotated parts, top side view and bottom side detail view, housing including dimensions.
Figure 3
Figure 3
(Left) IDS UI-ML-3240-NIR quantum efficiency chart, (right) LP780 transmission chart.
Figure 4
Figure 4
Emission spectrum of the 850nm near infrared (NIR) LEDs (left) and the NIR laser modules (right), taken from the data sheet [34].
Figure 5
Figure 5
Schematic structure of the illumination control board.
Figure 6
Figure 6
Example images of the PLUSVein-Contactless finger (left) and hand (right) vein dataset.
Figure 7
Figure 7
Biometric recognition tool-chain and different levels of biometric fusion.
Figure 8
Figure 8
Finger vein region of interest (ROI) extraction process, from left to right: input image, finger outline and centre line detection, finger aligned, masked and normalised ROI boundary, final ROI.
Figure 9
Figure 9
Hand vein ROI extraction process, from left to right: Segmented hand including outline and minima/maxima points, appropriate finger valleys and centre of mass selected, rotationally aligned hand image with maximum possible ROI fitted, final extracted ROI.
Figure 10
Figure 10
DET plots for finger vein (left), hand vein 850 nm (middle) and hand vein 950 nm (right).
See this image and copyright information in PMC

References

    1. Fujitsu Laboratories Ltd. Fujitsu Develops Technology for World’s First Contactless Palm Vein Pattern Biometric Authentication System. [(accessed on 6 October 2019)]; Available online: https://www.fujitsu.com/global/about/resources/news/press-releases/2003/....
    1. Hitachi-Omron Terminal Solutions, Corp. Taiwan’s CTBC Bank Adopts Finger Vein Authentication Solution for ATMs—Hitachi News. [(accessed on 20 June 2018)]; Available online: http://www.hitachi-omron-ts.com/news/pdf/201607-001.pdf.
    1. Hitachi Group, Corp. Finger Vein Technology for Bank BPH (Poland)—Hitachi Europe News. [(accessed on 20 June 2018)]; Available online: http://www.hitachi.eu/en-gb/case-studies/finger-vein-technology-bank-bph....
    1. Kumar A., Zhou Y. Human identification using finger images. Image Process. IEEE Trans. 2012;21:2228–2244. doi: 10.1109/TIP.2011.2171697. - DOI - PubMed
    1. Mofiria Corp. Mofiria FVA-U3SXE Finger Vein Reader Data Sheet. [(accessed on 20 June 2018)]; Available online: https://www.mofiria.com/wp/wp-content/uploads/2017/08/FVA-U3SXE.pdf.

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