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Content Provider | IEEE Xplore Digital Library |
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Author | Van Huan, Nguyen Kim, Hakil |
Copyright Year | 2008 |
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. |
Starting Page | 620 |
Ending Page | 624 |
File Size | 1281644 |
Page Count | 5 |
File Format | |
ISBN | 9780769531199 |
DOI | 10.1109/CISP.2008.176 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-05-27 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Biometrics Shape Image edge detection Nonlinear filters circle detection Image segmentation iris segmentation Detectors Eyelids Waveguide discontinuities circular filter Iris recognition Biomedical signal processing |
Content Type | Text |
Resource Type | Article |
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