Fusion of multiple instances within a modality for biometric verification performance improvement has received considerable attention. In this letter, we present an iris recognition method based on multi-instance fusion, which combines the left and right irises of an individual at the matching score level. When fusing, a novel fusion strategy using minimax probability machine (MPM) is applied to generate a fused score for the final decision. The experimental results on CASIA and UBIRIS databases show that the proposed method can bring obvious performance improvement compared with the single-instance method. The comparison among different fusion strategies demonstrates the superiority of the fusion strategy based on MPM.
© 2008 Chinese Optics Letters
Fenghua Wang, Xianghua Yao, and Jiuqiang Han, "Improving iris recognition performance via multi-instance fusion at the score level," Chin. Opt. Lett. 6, 824-826 (2008)