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

被引：0

作者：

Wang, Fenghua ^{[1
]}

Zhang, Xinman ^{[2
]}

机构：

[1] China Univ Petr, Coll Comp & Commun Engn, Qingdao 266555, Peoples R China

[2] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China

来源：

2012 INTERNATIONAL WORKSHOP ON IMAGE PROCESSING AND OPTICAL ENGINEERING | 2012年 / 8335卷

基金：

中国国家自然科学基金;

关键词：

Iris identification; Biometrics; Fusion;

D O I：

10.1117/12.917671

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：7

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