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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fei Yan Yantao Tian Haiwei Wu Yanhua Zhou Liuyang Cao Changjiu Zhou |
| Copyright Year | 2014 |
| Description | Author affiliation: Coll. of Commun. Eng., Jilin Univ., Changchun, China (Fei Yan; Yantao Tian; Haiwei Wu; Yanhua Zhou; Liuyang Cao) || Adv. Robot. & Intell. Control Centre, Singapore Polytech., Singapore, Singapore (Changjiu Zhou) |
| Abstract | A novel iris image segmentation method using watershed and region merging is put forward. Total variation flow model is used to divide the eye image into structure part and texture part. Light spots in pupil are removed by closing. Watershed and region merging are both applied in structure part. Structure part is divided into separate parts. The regions may contain iris are labeled. Then, merging iris regions using average gray rule and total pixels rule. CASIA3.0-Interval iris image database is used to test the proposed method. Experiment results show that, the proposed method can segment iris images accurately and it can be used for different types of iris images. |
| Starting Page | 835 |
| Ending Page | 840 |
| File Size | 683680 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479943159 |
| DOI | 10.1109/ICIEA.2014.6931278 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iris recognition Image segmentation Iris Merging Visual perception Image decomposition TV feature extraction watershed iris image segmentation biometric recognition |
| Content Type | Text |
| Resource Type | Article |
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