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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 6, Iss. 11 — Nov. 1, 2008
  • pp: 824–826

Improving iris recognition performance via multi-instance fusion at the score level

Fenghua Wang, Xianghua Yao, and Jiuqiang Han  »View Author Affiliations


Chinese Optics Letters, Vol. 6, Issue 11, pp. 824-826 (2008)


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Abstract

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

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition

Citation
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)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-6-11-824

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