A categorical study on iris localization, its challenges and techniques is carried out here. This survey comprehends the historical evolution and present state-of-the-art in iris localization. Most research publications include their primary contribution in iris localization based on tools like Hough Transform, Integro-differential Operator, Active Contour and Deep Learning etc. Majority of the techniques discussed in this paper are popular and efficient enough, however some are unique in their ways. Vast and growing horizon of iris biometric research forces this work to be selective. Our work will be of assistance to someone who is new to iris biometrics and wants to acquire a quick knowledge about iris localization, hurdles before it and various methods to achieve this.

这里对虹膜定位，其挑战和技术进行了分类研究。这项调查了解了虹膜定位的历史演变和最新技术。大多数研究出版物都包括基于Hough变换，积分微分算子，主动轮廓和深度学习等工具在虹膜定位中的主要贡献。 。虹膜生物识别研究的广阔和不断发展的前景迫使这项工作具有选择性。我们的工作将为刚接触虹膜生物识别技术并希望快速了解虹膜定位，克服障碍和各种方法的人提供帮助。