利用梯度幅度和傅立叶描述子进行虹膜定位

2014 International Conference on Advanced Computer Science and Information System Pub Date : 2014-10-01 DOI:10.1109/ICACSIS.2014.7065846

Stewart Sentanoe, A. Nugroho, M. Galinium, R. Hartono, M. T. Uliniansyah, Meidy Layooari

{"title":"利用梯度幅度和傅立叶描述子进行虹膜定位","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":"{\"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}","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

摘要

在眼睛图像中定位虹膜的最佳方法仍然是一个巨大的挑战，因为目前还没有关于虹膜图像的标准。虹膜分割的第一步是虹膜定位。这是非常重要的一步，因为它将确保其他步骤运行良好。本文介绍了一种新颖的、鲁棒的、简单的虹膜定位方法。该方法能够对被眼睑遮挡的虹膜进行定位。在马来西亚多媒体大学虹膜数据库(MMU1)[1]的公开虹膜数据库上进行的实验表明，该方法取得了令人满意的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Iris localization using gradient magnitude and fourier descriptor

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 International Conference on Advanced Computer Science and Information System

自引率

0.00%

发文量