{"title":"虹膜图像识别","authors":"R. Choras","doi":"10.1109/CISIM.2007.44","DOIUrl":null,"url":null,"abstract":"The authentication of people using iris-based recognition is a widely developing technology. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for genetically identical iris pairs. The feature extraction and classification are heavily based on the rich textural details of the iris.","PeriodicalId":350490,"journal":{"name":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Iris Image Recognition\",\"authors\":\"R. Choras\",\"doi\":\"10.1109/CISIM.2007.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authentication of people using iris-based recognition is a widely developing technology. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for genetically identical iris pairs. The feature extraction and classification are heavily based on the rich textural details of the iris.\",\"PeriodicalId\":350490,\"journal\":{\"name\":\"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISIM.2007.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIM.2007.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authentication of people using iris-based recognition is a widely developing technology. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for genetically identical iris pairs. The feature extraction and classification are heavily based on the rich textural details of the iris.
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