An improved iris localization method

Int. Arab J. Inf. Technol. Pub Date : 2022-01-01 DOI:10.34028/iajit/19/2/4

Meisen Pan, Qi Xiong

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Abstract

Iris research has become an inevitable trend in the application of identity recognition due to its uniqueness, stability, non-aggression and other advantages. In this paper, an improved iris localization method is presented. When the iris inner boundary is located, a method for extracting the iris inner boundary based on morphology operations with multi-structural elements is proposed. Firstly, the iris image is pre-processed, and then the circular connected region in the pre-processed image is determined, the parameters of the circular connected region is extracted, finally the center and the radius of the circular connected region is obtained, .i.e., the iris inner boundary is excavated. When the iris outer boundary is located, a method for locating iris outer boundary based on annular region and improved Hough transform is proposed. The iris image is first filtered, and then the filtered image is reduced and an annular region is intercepted, finally Hough transform is used to search the circle within the annular region, i.e., the center and the radius of the iris outer boundary is obtained. The experimental results show that the location accuracy rate of this proposed method is at least 95% and the average running time is increased by 46.2% even higher. Therefore, this proposed method has the advantages of high speed, high accuracy, strong robustness and practicability.

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一种改进的虹膜定位方法

虹膜由于其独特性、稳定性、非侵略性等优势，已成为身份识别应用的必然趋势。本文提出了一种改进的虹膜定位方法。在确定虹膜内边界后，提出了一种基于多结构元素形态学运算的虹膜内边界提取方法。首先对虹膜图像进行预处理，然后确定预处理图像中的圆形连通区域，提取圆形连通区域的参数，最后得到圆形连通区域的中心和半径，即。，挖掘虹膜内边界。在定位虹膜外边界时，提出了一种基于环形区域和改进霍夫变换的虹膜外边界定位方法。首先对虹膜图像进行滤波，然后对滤波后的图像进行约简，截取一个环形区域，最后利用霍夫变换在环形区域内搜索圆，即得到虹膜外边界的中心和半径。实验结果表明，该方法的定位准确率达到95%以上，平均运行时间提高46.2%以上。因此，该方法具有速度快、精度高、鲁棒性强和实用性强等优点。

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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Int. Arab J. Inf. Technol.

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