Towards Match-on-Card Finger Vein Recognition

Michael Linortner, A. Uhl
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引用次数: 8

Abstract

Security and privacy is of great interest in biometric systems which can be offered by Match-on-Card (MoC) technology, successfully applied in several areas of biometrics. In finger vein recognition such a system is not available yet. Utilizing minutiae points from vein images in combination with classical minutiae-based fingerprint comparison software offers a great opportunity to integrate vein recognition on MoC systems. In this work a publicly available and two commercial fingerprint comparison tools are used to evaluate the recognition performance of vein minutiae, represented in a standardized data format, on three publicly available databases. The results strongly indicate that minutiae-based comparison technology from fingerprint recognition can be applied to finger vein recognition and is able to compete with and even outperform classical correlation-based methods utilized in this field. The work done here prepares the way for vein recognition on MoC systems.
基于匹配卡的手指静脉识别
生物识别系统的安全性和隐私性是人们非常关注的问题,而卡上匹配(MoC)技术已成功应用于生物识别的多个领域。在手指静脉识别中,这样的系统尚不可用。利用静脉图像中的细微点与经典的基于细微点的指纹比较软件相结合,为在MoC系统中集成静脉识别提供了很好的机会。在这项工作中,使用一个公开可用的和两个商业指纹比较工具来评估在三个公开可用的数据库上以标准化数据格式表示的静脉细节的识别性能。研究结果表明,指纹识别中基于极小值的比较技术可以应用于手指静脉识别,并且能够与该领域中使用的基于相关的经典方法相竞争,甚至优于后者。这里所做的工作为在MoC系统上进行静脉识别做好了准备。
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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