Enhancing Person Identification with Score Fusion of Biometric Modalities

Abstract

Biometric systems play a vital role in identifying individuals by capitalizing on their distinctivephysical or behavioral traits. However, individual biometric techniques have limitations that can impact theaccuracy and reliability of identification. Multimodal biometric systems, which incorporate data fromseveral modalities, have evolved as a solution to these problems. There are four levels of integration intomultimodal biometric systems, but score-level fusion is seen as the most efficient. The fusion level used inthis paper was the score level. The fusion proposal was assessed using the ORL Face and IITD Iris datasets.The suggested technique can enhance the ability to identify people in various areas.