{"title":"Quality Evaluation of the Sequence Iris Image","authors":"Yanhua Zhou, Liuyang Cao, Fei Yan, Yantao Tian","doi":"10.1109/IMCCC.2014.171","DOIUrl":null,"url":null,"abstract":"Iris recognition technology is one of the most promising biological recognition technologies now. In order to ensure the efficiency and accuracy of recognition algorithm, we need to evaluate the quality of iris images. Five indexes are used to evaluate the iris images. These indexes are eyelid occlusion, living, definition, eyelashes occlusion and cosmetic contact lenses respectively. In this way, the poor quality of images will be removed, and the rest of images will be located and segmented. Experiment results show that the proposed method can accurately eliminate the poor quality of images. This result is consistent with the subjective evaluation. After image quality evaluation, the iris images will be located and segmented accurately. It is almost 100%.","PeriodicalId":152074,"journal":{"name":"2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2014.171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Iris recognition technology is one of the most promising biological recognition technologies now. In order to ensure the efficiency and accuracy of recognition algorithm, we need to evaluate the quality of iris images. Five indexes are used to evaluate the iris images. These indexes are eyelid occlusion, living, definition, eyelashes occlusion and cosmetic contact lenses respectively. In this way, the poor quality of images will be removed, and the rest of images will be located and segmented. Experiment results show that the proposed method can accurately eliminate the poor quality of images. This result is consistent with the subjective evaluation. After image quality evaluation, the iris images will be located and segmented accurately. It is almost 100%.
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