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Automatic Detection of Non-Cosmetic Soft Contact Lenses in Ocular Images

机译：眼睛图像中非美容性软性隐形眼镜的自动检测

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Recent research in iris recognition has established the impact of non-cosmetic soft contact lenses on the recognition performance of iris matchers. Researchers in Notre Dame demonstrated an increase in False Reject Rate (FRR) when an iris without a contact lens was compared against the same iris with a transparent soft contact lens. Detecting the presence of a contact lens in ocular images can, therefore, be beneficial to iris recognition systems. This study proposes a method to automatically detect the presence of non-cosmetic soft contact lenses in ocular images of the eye acquired in the Near Infrared (NIR) spectrum. While cosmetic lenses are more easily discernible, the problem of detecting non-cosmetic lenses is substantially difficult and poses a significant challenge to iris researchers. In this work, the lens boundary is detected by traversing a small annular region in the vicinity of the outer boundary of the segmented iris and locating candidate points corresponding to the lens perimeter. Candidate points are identified by examining intensity profiles in the radial direction within the annular region. The proposed detection method is evaluated on two databases: ICE 2005 and MBGC Iris. In the ICE 2005 database, a correct lens detection rate of 72% is achieved with an overall classification accuracy of 76%. In the MBGC Iris database, a correct lens detection rate of 70% is obtained with an overall classification accuracy of 66.8%. To the best of our knowledge, this is one of the earliest work attempting to detect the presence of non-cosmetic soft contact lenses in NIR ocular images. The results of this research suggest the possibility of detecting soft contact lenses in ocular images but highlight the need for further research in this area.
机译：虹膜识别的最新研究已经确立了非化妆品软性隐形眼镜对虹膜匹配器识别性能的影响。当将不带​​隐形眼镜的虹膜与带有透明软性隐形眼镜的相同虹膜进行比较时，巴黎圣母院的研究人员证明了假拒绝率（FRR）的提高。因此，检测眼图像中隐形眼镜的存在对虹膜识别系统可能是有益的。这项研究提出了一种方法，可以自动检测在近红外（NIR）光谱中获取的眼睛眼部图像中非美容性软性隐形眼镜的存在。尽管化妆镜片更容易辨认，但检测非化妆镜片的问题却非常困难，这对虹膜研究人员构成了重大挑战。在这项工作中，通过遍历分段虹膜外边界附近的小环形区域并找到对应于透镜周长的候选点来检测透镜边界。通过检查环形区域内沿径向的强度分布来确定候选点。在两个数据库（ICE 2005和MBGC Iris）上评估了建议的检测方法。在ICE 2005数据库中，正确的镜片检测率达到72％，总体分类精度为76％。在MBGC Iris数据库中，获得了70％的正确晶状体检出率，总分类准确率为66.8％。据我们所知，这是尝试检测NIR眼部图像中是否存在非美容性软性隐形眼镜的最早工作之一。这项研究的结果表明有可能在眼部图像中检测到软性隐形眼镜，但强调了对该领域进行进一步研究的必要性。

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