An Efficient Algorithm for Iris Localization
Guo Qiaoli, Hongju Cao · International Conference on Digital Manufacturing & Automation · 2015
Iris location is the critical step of an iris recognition system. This paper presented an efficient algorithm for iris localization which was divided into two parts: the inner boundary localization and the outer boundary localization. Inner boundary localization was applied in the following way: first, segment the iris image digitally, then, apply point Hough transform to the images. The improved Dagan algorithm was used to get the outer boundary. The experimental results show that it can extract textural features from iris image using this algorithm effectively.