非理想成像条件下虹膜定位的有效方法

Yogita Parikh, U. Chaskar, Harshal Khakole
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引用次数: 11

摘要

本文提出了“非理想成像条件下虹膜定位的有效方法”。提出了一种基于颜色聚类方法的有效算法,用于非圆形虹膜边界的粗虹膜定位和用于瞳孔提取的对比度增强。镜面反射的去除采用基于形态学和梯度的方法。同时提出了圆校正和非圆边界检测方法。检测上、下眼睑边界,并根据平均强度分析去除睫毛。该方法已在UBIRIS 2.0, NICE上进行了评估。我和NICE。II .虹膜数据库。它可以准确地检测虹膜边界,并去除所有不相关的部分,如眼睑、睫毛、反射,比其他现有方法给出更准确的结果。
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Effective approach for iris localization in nonideal imaging conditions
This paper presents “effective approach for iris localization in non-ideal imaging conditions”. We proposed an effective algorithm based on the color clustering method for coarse iris localization of non-circular iris boundaries and contrast enhancement used for pupil extraction. The specular reflection removal is carried out by morphological and gradient based method. Also circle correction and non-circular boundary detection is proposed. Upper and lower eyelids boundaries are detected and eyelashes are also removed based on average intensity analysis. The proposed method has been evaluated on the UBIRIS 2.0, NICE.I and NICE.II iris databases. It detects exact iris boundary and removes all irrelevant parts such as eyelids, eyelashes, reflection and gives more accurate results than other existing methods.
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