Multimodal biometric verification system: Evaluation of various score level fusion rules

Abstract

In this paper, biometric verification system is built adopting five physiological traits. We have opted to choose score level fusion, due to its ease in accessing and combining scores generated by different matchers. In our work, we have explored simple transformation rules (min, max, sum), dynamic weighting (DLC, WF) and t-norms (Frank, hamacher and Sugeno weber) score level fusion schemes. All these score level fusion schemes are checked with different desirable parameters such as accuracy, scalability and robustness in declaring the most efficient method for both unimodal and multimodal biometric system.