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Enhancement segmentation technique for iris recognition system based on Daugman's Integro-differential operator

机译:基于Daugman的积分差分运算符的虹膜识别系统增强分段技术

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In spite of having been highly recognized as one of the critical steps in recognizing and determining the accuracy of iris matching, segmentation process of Iris is still encountered with few problematic challenges, especially in the process of separating the iris from the eye image and eyelids and eyelashes as it leads to reduction of the accuracy. To enhance the accuracy of iris segmentation, therefore, this study was carried-out using Integro-differential Operator approach in the segmentation process with the aim of locating the iris region of eye image, by employing one centre of the iris and pupil. This approach is found more effective in emphasizing the accuracy of iris segmentation. The evaluation was carried-out at the end of the study using CASIA-IrisV3-Intervals Database. The results of the experimental evaluation showed that the accuracy of the iris recognition increased, and the speed was acceptable.
机译:尽管已经被高度认识为认识和确定虹膜匹配的准确性的关键步骤之一,但虹膜的分割过程仍然存在很少有问题的挑战,特别是在将虹膜与眼睛图像和眼睑分离的过程中睫毛导致减少准确性。因此,通过采用虹膜和瞳孔的一个中心,在分割过程中使用积分差分操作员方法进行了使用积分差分操作员方法进行了本研究,通过使用虹膜和瞳孔的一个中心来定位眼睛图像的虹膜区域。发现这种方法更有效地强调虹膜分割的准确性。使用Casia-Irisv3-Intervals数据库在研究结束时进行了评估。实验评价的结果表明,虹膜识别的准确性增加,速度是可接受的。

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