Stewart Sentanoe, A. Nugroho, M. Galinium, R. Hartono, M. T. Uliniansyah, Meidy Layooari
{"title":"Iris localization using gradient magnitude and fourier descriptor","authors":"Stewart Sentanoe, A. Nugroho, M. Galinium, R. Hartono, M. T. Uliniansyah, Meidy Layooari","doi":"10.1109/ICACSIS.2014.7065846","DOIUrl":null,"url":null,"abstract":"Best way to localize iris inside an image of an eye is still a huge challenge because a standard regarding iris image does not yet exist. The first step of iris segmentation is iris localization. It is very important step because it will ensure the other step is running well. In this paper, a novel method to localize iris in a robust and simple manner is explained. The method is able to localize iris occluded by eyelids. Experiments on publicly available iris database that made by Malaysia Multimedia University Iris Database (MMU1) [1] showed a satisfying result of the proposed method.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advanced Computer Science and Information System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACSIS.2014.7065846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Best way to localize iris inside an image of an eye is still a huge challenge because a standard regarding iris image does not yet exist. The first step of iris segmentation is iris localization. It is very important step because it will ensure the other step is running well. In this paper, a novel method to localize iris in a robust and simple manner is explained. The method is able to localize iris occluded by eyelids. Experiments on publicly available iris database that made by Malaysia Multimedia University Iris Database (MMU1) [1] showed a satisfying result of the proposed method.
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