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- W2108138770 abstract "This paper introduces a novel approach for iris segmentation. In detecting the inner boundary of the iris, the method introduces a circular filter which is specially designed to detect circular shapes in images. The inner boundary detection process consists of two steps. Firstly, a coarse circle of the pupil is detected by the proposed circular filter after a binarization to the input iris image. Then, the inner boundary is accurately located by applying a modified circular Hough transform in an extracted region from the coarse center. The presented method further proposes a process of extracting the outer boundary of the iris by applying a linear filter to the rectangular areas transformed from arc regions around the iris. Experimental results show promising performances on iris images captured in ideal and non-ideal conditions from the CASIA iris database version 1 and 2." @default.
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- W2108138770 date "2008-01-01" @default.
- W2108138770 modified "2023-09-24" @default.
- W2108138770 title "A Novel Circle Detection Method for Iris Segmentation" @default.
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- W2108138770 doi "https://doi.org/10.1109/cisp.2008.176" @default.
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