Hand-Based Biometrics Fusing Palmprint and Finger-Knuckle-Print

Abstract

Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample is registered as template, by integrating multiple hand-based biometrics, i.e. palmprint and finger-knuckle-print. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Experimental results show that much better performance than single modal biometrics has been achieved.