In view of the problem of unstable recognition effect and low robustness of a traditional iris location algorithm, an iris location algorithm based on union-find-set and block search is proposed. Firstly, the inner circle of the iris is roughly positioned by the method of retrieval, and then, the Hough transform is used to accurately locate the pupil. After that, the convolution operation is used to roughly locate the outer circle, and then, the original image is partitioned to search. And the grayscale change in the gray histogram of the screenshot is observed to accurately locate the outer circle. The obtained iris and the iris obtained by the traditional localization algorithm are processed by the same iris recognition algorithm. The results show that the proposed image is more effective in image recognition and has good robustness.

中文翻译：

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基于Union-Find-Set和Block Search的虹膜定位算法

针对传统虹膜定位算法识别效果不稳定、鲁棒性低的问题，提出了一种基于union-find-set和块搜索的虹膜定位算法。首先通过检索的方法粗略定位虹膜内圆，然后利用霍夫变换精确定位瞳孔。之后，通过卷积操作粗略定位外圆，然后对原始图像进行分区搜索。并观察截图灰度直方图中的灰度变化，准确定位外圆。得到的虹膜和传统定位算法得到的虹膜，采用相同的虹膜识别算法进行处理。结果表明，所提出的图像在图像识别方面更有效，具有较好的鲁棒性。