{"title":"不同矩形虹膜模板的比较研究","authors":"Safaa S. Omran, A. Al-Hilali","doi":"10.1109/ICOASE.2018.8548913","DOIUrl":null,"url":null,"abstract":"The iris recognition is the best biometric method that used today for distinguish between users. The iris recognition system is providing to distinguish between human based on unique features located inside irises. Ridge-Energy-Direction (RED) algorithm is used for extracting iris features from the rectangle iris template. This research presents comparative between four different ways of choosing iris region of human or identifications and tries to locate the best way among them. These ways are tested on two different databases (CASIA V1 and CASIA Interval). A full design of iris recognition system is made from segmentation, normalization, features extraction, and matching to test these rectangle iris templates. This paper recommends choosing the iris region that near to the pupil likes quarter iris region template, since this iris region template has small sizes among other templates in terms of pixels and gives 100% accuracy in identification and verification.","PeriodicalId":144020,"journal":{"name":"2018 International Conference on Advanced Science and Engineering (ICOASE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparative Study Between Different Rectangle Iris Templates\",\"authors\":\"Safaa S. Omran, A. Al-Hilali\",\"doi\":\"10.1109/ICOASE.2018.8548913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The iris recognition is the best biometric method that used today for distinguish between users. The iris recognition system is providing to distinguish between human based on unique features located inside irises. Ridge-Energy-Direction (RED) algorithm is used for extracting iris features from the rectangle iris template. This research presents comparative between four different ways of choosing iris region of human or identifications and tries to locate the best way among them. These ways are tested on two different databases (CASIA V1 and CASIA Interval). A full design of iris recognition system is made from segmentation, normalization, features extraction, and matching to test these rectangle iris templates. This paper recommends choosing the iris region that near to the pupil likes quarter iris region template, since this iris region template has small sizes among other templates in terms of pixels and gives 100% accuracy in identification and verification.\",\"PeriodicalId\":144020,\"journal\":{\"name\":\"2018 International Conference on Advanced Science and Engineering (ICOASE)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Advanced Science and Engineering (ICOASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOASE.2018.8548913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Science and Engineering (ICOASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOASE.2018.8548913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative Study Between Different Rectangle Iris Templates
The iris recognition is the best biometric method that used today for distinguish between users. The iris recognition system is providing to distinguish between human based on unique features located inside irises. Ridge-Energy-Direction (RED) algorithm is used for extracting iris features from the rectangle iris template. This research presents comparative between four different ways of choosing iris region of human or identifications and tries to locate the best way among them. These ways are tested on two different databases (CASIA V1 and CASIA Interval). A full design of iris recognition system is made from segmentation, normalization, features extraction, and matching to test these rectangle iris templates. This paper recommends choosing the iris region that near to the pupil likes quarter iris region template, since this iris region template has small sizes among other templates in terms of pixels and gives 100% accuracy in identification and verification.