An efficient method to improve iris recognition performance based on multi-level fusion

Fenghua Wang; Xinman Zhang

doi:10.1117/12.917671

15 November 2011 An efficient method to improve iris recognition performance based on multi-level fusion

Fenghua Wang, Xinman Zhang

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 833511 (2011) https://doi.org/10.1117/12.917671
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

Abstract

To improve the reliability and accuracy of iris-based identification system, this paper proposed an efficient method based on multi-level fusion. Multi-level fusion contains two levels: multialgorithmic fusion and multiinstance fusion. The multialgorithmic fusion integrates the improved phase algorithm and the DCT-based algorithm, and the multiinstance fusion combines information from left iris and right iris of an individual. Both multialgorithmic fusion and multiinstance fusion are carried out at the matching score level. The experimental results on the noisy iris database UBIRIS demonstrate that the proposed fusion schemes can perform better than the simple recognition systems.

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Fenghua Wang and Xinman Zhang "An efficient method to improve iris recognition performance based on multi-level fusion", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 833511 (15 November 2011); https://doi.org/10.1117/12.917671

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KEYWORDS

Iris recognition

Detection and tracking algorithms

Biometrics

Information fusion

Image quality

System identification

Databases

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