{"title":"虹膜识别中的增强瞳孔隔离方法","authors":"A. Almisreb, N. Md. Tahir, A. Ismail, R. Abdullah","doi":"10.1109/ICSENGT.2011.5993409","DOIUrl":null,"url":null,"abstract":"Iris recognition system is until now impractical to implement in real time environment due to the unfeasible processing time. Therefore, solutions are required to enhance the performance of an iris recognition system. Since pupil segmentation is one of the important tasks in iris localization procedure, in this paper, a technique to isolate the pupil boundary is discussed. We have proposed a new thresholding method based on the eye color map. This proposed method is experimentally applied to the CASIA database iris images and 100% accuracy is attained. Furthermore, the proposed method may be utilized in the real time iris recognition scenario due to the superb processing time of pupil boundary segmentation without any pre-filters.","PeriodicalId":346890,"journal":{"name":"2011 IEEE International Conference on System Engineering and Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Enhancement pupil isolation method in iris recognition\",\"authors\":\"A. Almisreb, N. Md. Tahir, A. Ismail, R. Abdullah\",\"doi\":\"10.1109/ICSENGT.2011.5993409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Iris recognition system is until now impractical to implement in real time environment due to the unfeasible processing time. Therefore, solutions are required to enhance the performance of an iris recognition system. Since pupil segmentation is one of the important tasks in iris localization procedure, in this paper, a technique to isolate the pupil boundary is discussed. We have proposed a new thresholding method based on the eye color map. This proposed method is experimentally applied to the CASIA database iris images and 100% accuracy is attained. Furthermore, the proposed method may be utilized in the real time iris recognition scenario due to the superb processing time of pupil boundary segmentation without any pre-filters.\",\"PeriodicalId\":346890,\"journal\":{\"name\":\"2011 IEEE International Conference on System Engineering and Technology\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on System Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENGT.2011.5993409\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on System Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENGT.2011.5993409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancement pupil isolation method in iris recognition
Iris recognition system is until now impractical to implement in real time environment due to the unfeasible processing time. Therefore, solutions are required to enhance the performance of an iris recognition system. Since pupil segmentation is one of the important tasks in iris localization procedure, in this paper, a technique to isolate the pupil boundary is discussed. We have proposed a new thresholding method based on the eye color map. This proposed method is experimentally applied to the CASIA database iris images and 100% accuracy is attained. Furthermore, the proposed method may be utilized in the real time iris recognition scenario due to the superb processing time of pupil boundary segmentation without any pre-filters.
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