A Comparison of Iris Localization Techniques for Pattern Recognition Analysis

2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI:10.1109/AMS.2012.44

A. Nor'aini, R. Sahak, A. Saparon

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引用次数: 6

Abstract

This paper presents a comparison of iris localization techniques namely, Circular Hough Transform (CHT), Daugman's Integro Differential Operator (DIDO) and Circular Boundary Detector (CBD) for localization of iris region. The difference among these three techniques are, CHT employs a segmentation technique to highlight the edges of interest and the circular shape of the iris is detected using the equation of circle, DIDO makes use of integro differential operator for locating the iris and pupil regions while CBD is developed based on the equation of circle by first selecting two points at the iris region: one at the center and the other one at the circumference of the iris. Once this selection has been made, the computation of the outer iris boundary takes place. The same procedure is repeated for the construction of inner iris boundary. The circular iris region can be un-wrapped into rectangular form for the purpose of pattern recognition analysis. The iris localization was conducted on iris images taken from healthy women free from Human Papilloma Virus (HPV). The results show that CBD is able to localize the iris region for all tested iris images while using DIDO and CHT, not all iris images can be localized precisely.

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模式识别分析中虹膜定位技术的比较

本文比较了虹膜区域定位的几种方法，即圆形霍夫变换(CHT)、道格曼积分微分算子(DIDO)和圆形边界检测器(CBD)。这三种技术的不同之处在于，CHT使用分割技术突出感兴趣的边缘，利用圆方程检测虹膜的圆形形状;DIDO使用积分微分算子定位虹膜和瞳孔区域;CBD是基于圆方程，首先在虹膜区域选择两个点:一个在虹膜的中心，另一个在虹膜的周长。一旦选择完成，就开始计算外虹膜边界。对虹膜内边界的构造重复同样的步骤。为了进行模式识别分析，可以将圆形虹膜区域解包裹成矩形。对未感染人乳头瘤病毒(HPV)的健康女性虹膜图像进行虹膜定位。结果表明，CBD能够对所有测试的虹膜图像进行定位，而DIDO和CHT方法并不是所有的虹膜图像都能精确定位。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 Sixth Asia Modelling Symposium

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