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

机译:基于Daugman积分微分算子的虹膜识别系统增强分割技术

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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:尽管虹膜的分割过程已被公认为识别和确定虹膜匹配精度的关键步骤之一,但仍然遇到了虹膜分割过程,几乎没有问题,特别是在将虹膜与眼睛图像和眼睑分离的过程中。睫毛,因为这会导致准确性降低。因此,为了提高虹膜分割的准确性,本研究在分割过程中使用了Integro-differential算子方法,目的是通过利用虹膜和瞳孔的一个中心来定位眼睛图像的虹膜区域。发现该方法在强调虹膜分割的准确性方面更有效。评估在研究结束时使用CASIA-IrisV3-Intervals数据库进行。实验评估的结果表明虹膜识别的准确性提高了,并且速度是可以接受的。

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