Carnegie Mellon University, Pittsburgh, USA.
IIIT Delhi, New Delhi, India.
Sci Rep. 2019 Jul 31;9(1):11139. doi: 10.1038/s41598-019-47222-4.
Cataract is a common ophthalmic disorder and the leading cause of blindness worldwide. While cataract is cured via surgical procedures, its impact on iris based biometric recognition has not been effectively studied. The key objective of this research is to assess the effect of cataract surgery on the iris texture pattern as a means of personal authentication. We prepare and release the IIITD Cataract Surgery Database (CaSD) captured from 132 cataract patients using three commercial iris sensors. A non-comparative non-randomized cohort study is performed on the iris texture patterns in CaSD and authentication performance is studied using three biometric recognition systems. Performance is lower when matching pre-operative images to post-operative images (74.69 ± 9.77%) as compared to matching pre-operative images to pre-operative images (93.42 ± 1.76%). 100% recognition performance is observed on a control-group of healthy irises from 68 subjects. Authentication performance improves if cataract affected subjects are re-enrolled in the system, though re-enrollment does not ensure performance at par with pre-operative scenarios (86.67 ± 5.64%). The results indicate that cataract surgery affects the discriminative nature of the iris texture pattern. This finding raises concerns about the reliability of iris-based biometric recognition systems in the context of subjects undergoing cataract surgery.
白内障是一种常见的眼部疾病，也是全球致盲的主要原因。虽然白内障可以通过手术治愈，但它对基于虹膜的生物识别的影响尚未得到有效研究。本研究的主要目标是评估白内障手术后对虹膜纹理模式的影响，作为一种身份验证的方法。我们使用三个商业虹膜传感器，从 132 名白内障患者中准备并发布了 IIITD 白内障手术数据库 (CaSD)。我们对 CaSD 中的虹膜纹理模式进行了非比较、非随机的队列研究，并使用三个生物识别系统研究了认证性能。与匹配术前图像到术前图像（93.42±1.76%）相比，匹配术前图像到术后图像的性能较低（74.69±9.77%）。在 68 名健康受试者的对照组中，可实现 100%的识别性能。如果将受白内障影响的受试者重新注册到系统中，认证性能会有所提高，但重新注册并不能确保与术前情况的性能相当（86.67±5.64%）。结果表明，白内障手术会影响虹膜纹理模式的可区分性。这一发现引起了人们对白内障手术患者背景下基于虹膜的生物识别系统可靠性的关注。
