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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The work was supported by the National Natural Science Foundation of China under Grant 61271365.
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Zhu, L., Yuan, W. (2016). An Accurate Iris Segmentation Method Based on Union-Find-Set. In: You, Z., et al. Biometric Recognition. CCBR 2016. Lecture Notes in Computer Science(), vol 9967. Springer, Cham. https://doi.org/10.1007/978-3-319-46654-5_39
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DOI: https://doi.org/10.1007/978-3-319-46654-5_39
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