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A Novel and Efficient Method for Iris Automatic Location
作者姓名:XU  Guang-zhu  ZHANG  Zai-feng  MA  Yi-de
作者单位:School of Information Science & Engineering Lanzhou University Lanzhou Gansu 730000, China
基金项目:国家自然科学基金;面向21世纪教育振兴行动计划(985计划)
摘    要:An efficient and robust iris location algorithm plays a very important role in a real iris recognition system. A novel and efficient iris automatic location method is presented in this study. It includes following two steps mainly: pu- pil location and iris outer boundary location. A digital eye image was divided into many small rectangular blocks with fixed size in the pupil location, and the block with the smallest average intensity was selected as a reference area. Then image binarization was implemented taking the average intensity of the reference area as a threshold. At last the center coordinates and radius of pupil were estimated by extending the reference area to the pupil's boundaries in the binary iris image. In the iris outer location, two local parts of the eye image were selected and transformed into polar coordinates from Cartesian reference. In order to detect the fainter outer boundary of the iris quickly, a novel edge detector was used to locate boundaries of the two parts. The center coordinates and radius of the iris outer boundary can be estimated using the fusion of the locating results of the two local parts and the location information of the pupil. The algorithm was tested on CASIA vl.0 and MMU vl.0 digital eye image databases and experimental results show that the proposed method has satisfying performance and good robustness.

关 键 词:生物测定学  虹膜识别技术  虹膜定位  识别模式
收稿时间:2 November 2006
修稿时间:2006-12-02

A Novel and Efficient Method for Iris Automatic Location
XU Guang-zhu ZHANG Zai-feng MA Yi-de.A Novel and Efficient Method for Iris Automatic Location[J].Journal of China University of Mining and Technology,2007,17(3):441-446.
Authors:XU Guang-zhu  ZHANG Zai-feng  MA Yi-de
Affiliation:School of Information Science & Engineering, Lanzhou University, Lanzhou, Gansu 730000, China
Abstract:An efficient and robust iris location algorithm plays a very important role in a real iris recognition system. A novel and efficient iris automatic location method is presented in this study. It includes following two steps mainly pupil location and iris outer boundary location. A digital eye image was divided into many small rectangular blocks with fixed size in the pupil location, and the block with the smallest average intensity was selected as a reference area. Then image binarization was implemented taking the average intensity of the reference area as a threshold. At last the center coordinates and radius of pupil were estimated by extending the reference area to the pupil's boundaries in the binary iris image. In the iris outer location, two local parts of the eye image were selected and transformed into polar coordinates from Cartesian reference. In order to detect the fainter outer boundary of the iris quickly, a novel edge detector was used to locate boundaries of the two parts. The center coordinates and radius of the iris outer boundary can be estimated using the fusion of the locating results of the two local parts and the location information of the pupil. The algorithm was tested on CASIA v1.0 and MMU v1.0 digital eye image databases and experimental results show that the proposed method has satisfying performance and good robustness.
Keywords:biometrics  iris recognition  iris location  pattern recognition
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