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Iris segmentation using active contours is finding an iris region in an image using snakes which are curves such as inner and outer boundaries at pupil and sclera. Iris segmentation is a key task for iris recognition. However, it is challenging to detect and exclude the true inner and outer boundaries of an iris. First of all, the occlusion caused by lower and upper eyelids and eyelashes makes it difficult to detect the iris region. Even though eyelids and eyelashes make no occlusion, the inner and outer boundaries are not exact circles, so circle detection such as the Hough transform is not enough to be applied. To obtain the iris boundaries, snakes have been successfully applied in literature. Snakes are energy-minimizing parametric closed curves guided by external forces.
Introduction
Among various biometric techniques, iris recognition can provide stable and accurate recognition rates, since irises have highly unique pattern...
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References
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Park, S., Savvides, M. (2009). Iris Segmentation Using Active Contours. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_254
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DOI: https://doi.org/10.1007/978-0-387-73003-5_254
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