In this paper, we attempt to answer the questions whether iris recognition task under the influence of diabetes would be more difficult and whether the effects of diabetes and individuals’ age are uncorrelated. We hypothesized that the health condition of volunteers plays an important role in the performance of the iris recognition system. To confirm the obtained results, we reported the distribution of usable area in each subgroup to have a more comprehensive analysis of diabetes effects. There is no conducted study to investigate for which age group (young or old) the diabetes effect is more acute on the biometric results. For this purpose, we created a new database containing 1,906 samples from 509 eyes. We applied the weighted adaptive Hough ellipsopolar transform technique and contrast-adjusted Hough transform for segmentation of iris texture, along with three different encoding algorithms. To test the hypothesis related to physiological aging effect, Welches’s t-test and Kolmogorov–Smirnov test have been used to study the age-dependency of diabetes mellitus influence on the reliability of our chosen iris recognition system. Our results give some general hints related to age effect on performance of biometric systems for people with diabetes.

中文翻译：

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糖尿病的年龄依赖性对虹膜识别系统性能评估结果的影响


在本文中，我们试图回答糖尿病影响下虹膜识别任务是否会变得更加困难以及糖尿病的影响与个体年龄是否不相关的问题。我们假设志愿者的健康状况对虹膜识别系统的性能起着重要作用。为了证实所获得的结果，我们报告了每个亚组中可用面积的分布，以便对糖尿病的影响进行更全面的分析。目前还没有开展研究来调查哪个年龄组（年轻或年长）糖尿病对生物识别结果的影响更为严重。为此，我们创建了一个新数据库，其中包含来自 509 只眼睛的 1,906 个样本。我们应用加权自适应霍夫椭圆极变换技术和对比度调整霍夫变换来分割虹膜纹理，以及三种不同的编码算法。为了检验与生理老化效应相关的假设，使用韦尔奇的 t 检验和柯尔莫哥洛夫-斯米尔诺夫检验来研究糖尿病的年龄依赖性对我们选择的虹膜识别系统的可靠性的影响。我们的结果给出了一些与年龄对糖尿病患者生物识别系统性能影响相关的一般提示。