A Robust Algorithm for Iris Localization Based on Radial Symmetry
Wencong Zhang, Bin Li, Xueyi Ye, Zhenquan Zhuang · 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007) · 2007
Previous algorithms have good localization performance for iris images captured in the ideal condition. However, in practice, the quality of iris image is greatly influenced by luminance, eyelashes, hair or glasses frame, which is easy to cause mis- localization. In order to improve the robustness of iris localization, this paper proposes a new localization algorithm based on the radial symmetry transform, in which the radial symmetry characteristic of the pupil is fully used to realize iris localization. Experimental results show that the proposed algorithm can efficiently avoid the interference of luminance and other bad conditions, and realize robust precise localization in a real-time system.