{"title":"一种快速的虹膜提取方法","authors":"J. H. Alves, G. Giraldi, L. A. P. Neves","doi":"10.5220/0004303700900093","DOIUrl":null,"url":null,"abstract":"In this paper, we present a technique for iris segmentation. The method finds the pupil in the first step. Next, it segments the iris using the pupil location. The proposed approach is based on the mathematical morphology operators of opening and closing, as well as histogram expansion and thresholding. The CASIA Iris Database from the Institute of Automation of the Chinese Academy of Sciences has been used for the tests. Several tests were performed with 200 different images, showing the efficiency of the proposed","PeriodicalId":411140,"journal":{"name":"International Conference on Computer Vision Theory and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Faster Method Aiming Iris Extraction\",\"authors\":\"J. H. Alves, G. Giraldi, L. A. P. Neves\",\"doi\":\"10.5220/0004303700900093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a technique for iris segmentation. The method finds the pupil in the first step. Next, it segments the iris using the pupil location. The proposed approach is based on the mathematical morphology operators of opening and closing, as well as histogram expansion and thresholding. The CASIA Iris Database from the Institute of Automation of the Chinese Academy of Sciences has been used for the tests. Several tests were performed with 200 different images, showing the efficiency of the proposed\",\"PeriodicalId\":411140,\"journal\":{\"name\":\"International Conference on Computer Vision Theory and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computer Vision Theory and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0004303700900093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computer Vision Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0004303700900093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we present a technique for iris segmentation. The method finds the pupil in the first step. Next, it segments the iris using the pupil location. The proposed approach is based on the mathematical morphology operators of opening and closing, as well as histogram expansion and thresholding. The CASIA Iris Database from the Institute of Automation of the Chinese Academy of Sciences has been used for the tests. Several tests were performed with 200 different images, showing the efficiency of the proposed
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