Focussing the Beam - A New Laser Illumination Based Data Set Providing Insights to Finger-Vein Recognition

Christof Kauba, B. Prommegger, A. Uhl
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引用次数: 29

Abstract

The vascular pattern inside human fingers has become an emerging biometric trait during the last years, commonly denoted as finger vein recognition. However, the number of publicly available data sets is limited. In order to capture a finger vein data set, a suitable scanner device is needed. The design of such a scanner device is crucial if it comes to image quality, robustness against external influences during the capturing process and consequently to a good recognition performance. In this paper we propose two novel, modular designed, multi-purpose finger vein scanners, both able to capture three fingers at once, together with a publicly available finger-vein data set captured with these scanners. One scanner uses common near-infrared LEDs as a light source. The second one is based on a new concept using near-infrared lasers. Near-infrared lasers are not common in finger-vein recognition before despite their advantages especially in touchless operation. Our recognition performance evaluation confirm the good recognition performance that can be achieved using our proposed scanner design and provides some new insights by conducting sex and age-group specific analysis.
聚焦光束——一种新的基于激光照明的数据集,为手指静脉识别提供见解
近年来,人体手指内的血管模式已成为一种新兴的生物识别特征,通常被称为手指静脉识别。然而,可公开获得的数据集数量有限。为了获取手指静脉数据集,需要一种合适的扫描设备。如果涉及到图像质量,在捕获过程中对外部影响的鲁棒性,从而获得良好的识别性能,这种扫描仪设备的设计是至关重要的。在本文中,我们提出了两种新型的模块化设计的多用途手指静脉扫描仪,它们都能够同时捕获三个手指,以及这些扫描仪捕获的公开可用的手指静脉数据集。一种扫描仪使用普通的近红外led作为光源。第二个是基于一个使用近红外激光器的新概念。尽管近红外激光在手指静脉识别中具有优势,但在非接触式手术中应用并不多见。我们的识别性能评估证实了使用我们提出的扫描仪设计可以实现良好的识别性能,并通过对性别和年龄组的特定分析提供了一些新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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