Performance Analysis of Various Fusion methods in Multimodal Biometric

The biometric based personal verification system is technique used to calculating physical or behavioral characteristics of human. The biometric system is fundamental alternative of ID cards, passwords, passports, driving licenses. Biometric schemes have some restrictions in the terms of accuracy, acceptability, distinctiveness, universality. The approaches for combining two or more biometric have attracted increasing attention of researchers. Aim of combining two or more biometric is to increasing the accuracy of system. The combination of two or more biometric scheme is known as “biometric fusion”. The biometric fusion is classified four types those are 1) sensor level fusion, 2) feature level fusion, 3) score level fusion and 4) decision level fusion. In this paper we analyze the performance of fusion at the different level in multimodal biometric.