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

机译:聚焦光束-一种新的基于激光照明的数据集,可洞察手指静脉识别

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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.
机译:在最近几年中,人手指内部的血管模式已成为一种新兴的生物特征,通常被称为手指静脉识别。但是,公开可用的数据集的数量是有限的。为了捕获指静脉数据集,需要合适的扫描仪设备。如果涉及图像质量,在捕获过程中抵抗外部影响的鲁棒性以及因此获得良好的识别性能,则这种扫描仪设备的设计至关重要。在本文中,我们提出了两种新颖的,模块化设计的,多功能的手指静脉扫描仪,它们都能够一次捕获三个手指,以及用这些扫描仪捕获的公开可用的手指静脉数据集。一台扫描仪使用普通的近红外LED作为光源。第二个是基于使用近红外激光的新概念。尽管近红外激光具有优势,特别是在非接触式操作中,但之前在手指静脉识别中并不常见。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的良好识别性能,并通过进行性别和年龄组特定分析提供了一些新见解。

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