Towards Match-on-Card Finger Vein Recognition

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.