An Adaptive Score Level Fusion Scheme for Multimodal Biometric Systems

Abstract

This chapter presents a score level fusion scheme for multimodal biometric system. There multiple scores corresponding to the matchings of different biometric samples are fused for taking decision on similarity. Proposed score normalization is an threshold alignment and range compression scheme. It utilizes statistical properties of the score distribution. The proposed scheme has been tested over a multimodal database which is constructed using three publicly available database. Experimental results have shown the significant performance boost.