Author Affiliations
Abstract
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049
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.
生物特征认证 虹膜识别 多实例融合 最小最大概率机 100.5010 Pattern recognition 100.2000 Digital image processing 100.2960 Image analysis Chinese Optics Letters
2008, 6(11): 824