An accurate iris segmentation method based on union-find-set

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Abstract

Iris segmentation is one of the most important steps in iris recognition system, many existing localization methods model the iris outer boundary by a circle. However the iris outer boundary are not a circle in case of partially opened eye image. In this paper, we propose a method based on Union-Find-Set to extract the accurate iris boundary. The proposed method have been tested on the a visible light iris database captured by our own laboratory. The experimental results show that the proposed method outperforms the state-of-the-art method not only on localization accuracy rate but also on localization speed.

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Zhu, L., & Yuan, W. (2016). An accurate iris segmentation method based on union-find-set. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9967 LNCS, pp. 357–365). Springer Verlag. https://doi.org/10.1007/978-3-319-46654-5_39

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