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Influence of cataract surgery on iris recognition: A preliminary study

机译:白内障手术对虹膜识别的影响:初步研究

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Iris biometrics is considered as the unique and accurate biometric characteristics that are suited for large scale applications such as India's AADHAR, CANPASS, and many other national ID programs. However, the accuracy of the iris recognition is observed to degrade when eye (or iris) is affected by the diseases. Among many other eye diseases, cataract results in a cloud formation on the eye lens and is a potential problem, especially in the developing countries. In this paper, we present a preliminary study on 84 data subjects to reveal the effect of cataract on iris recognition performance. We investigate three different scenarios, which involve: (1) Enrolment and recognition of affected eyes (pre-operated eye) (2) Enrolement and recognition of operated eyes (post-operated eye) (3) Enrolment with affected eyes and recognition with operated eyes. Extensive experiments are carried out using five different academic and commercial iris recognition methods to get complete insight on the impact of cataract on the recognition performance. Results obtained on our database indicate the degraded performance in verification of the cataract operated eye.
机译:虹膜生物识别技术被认为是独特且准确的生物识别特征,适用于大规模应用,例如印度的AADHAR,CAMPASS和许多其他国家ID程序。但是,当眼睛(或虹膜)受到疾病影响时,虹膜识别的准确性会降低。在许多其他眼疾中,白内障会导致在晶状体上形成白云,这是一个潜在的问题,尤其是在发展中国家。在本文中,我们对84个数据对象进行了初步研究,以揭示白内障对虹膜识别性能的影响。我们研究了三种不同的情况,其中包括:(1)患眼的注册和识别(手术前的眼)(2)患眼的注册和识别(手术后的眼)(3)患眼的注册和已手术的识别眼睛。使用五种不同的学术和商业虹膜识别方法进行了广泛的实验,以全面了解白内障对识别性能的影响。从我们的数据库中获得的结果表明,白内障手术眼的验证性能下降。

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