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基于感兴趣区域的快速虹膜定位方法 被引量:1

Fast method of iris localization based on regional of interest
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摘要 为解决虹膜图像受光源影响和二值化边缘提取困难的问题,提出一种新的定位方法。该方法首先对瞳孔进行粗定位;然后在瞳孔粗定位的基础上,合理选择感兴趣区域;其次在此感兴趣区域利用行梯度极值取得虹膜外边缘的二值化图像;最后利用最小二乘法计算出虹膜外边缘的圆心和半径。实验结果表明了该算法的有效性。 In order to resolve the influence of light spots and difficulties in exacting iris edge image,this paper proposed a new iris localization method.Firstly,locating the pupil roughly.Secondly,the iris region could be limited in a small regional of interest,then edge points used for iris outer boundary localization could be obtained based on local extreme value of the gradient.Finally,it calculated the center and radius of iris boundary could be confirmed by least squares method for circle parameters.Results show that the method is effectiveness.
出处 《计算机应用研究》 CSCD 北大核心 2011年第9期3588-3590,共3页 Application Research of Computers
基金 山西自然基金资助项目(2008011030)
关键词 虹膜定位 梯度极值 感兴趣区域 最小二乘法 iris localization gradient extreme value regional of interest least squares
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参考文献8

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二级参考文献15

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