A Robust Iris Localization Algorithm for NonIdeal Capturing Conditions
ZHANG Wen-Cong1, YE Xue-Yi1,2, LI Bin1, YAO Peng1, ZHUANG Zhen-Quan1
1.Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230026 2.School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018
Abstract：The existing iris localization algorithms have fine performance for the iris images captured on ideal conditions. However, the captured iris images are greatly influenced by bad conditions, such as different luminance, eyelashes, hair, and glasses frame, which make precise localization be a hard task. To improve the robustness of iris localization, a novel localization algorithm is proposed 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 is robust to the influence of luminance and other complex conditions. Moreover, it realizes precise localization in a real-time system.
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2007, Vol. 20 
