{"title":"基于二维特征提取的虹膜识别系统","authors":"A. Agrawal, G. Bindra, P. Sharma","doi":"10.1109/ICAICT.2012.6398476","DOIUrl":null,"url":null,"abstract":"In this paper a novel and simple iris feature extraction technique is proposed for iris recognition of high performance. We use one dimensional circular ring to represent iris features. The reduced and significant features afterward are extracted by Sobel Operator and 1-D wavelet transform. To improve the accuracy, this paper combines uses Euclidean Distance for classification.","PeriodicalId":221511,"journal":{"name":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Feature based iris recognition system functioning on extraction of 2D features\",\"authors\":\"A. Agrawal, G. Bindra, P. Sharma\",\"doi\":\"10.1109/ICAICT.2012.6398476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a novel and simple iris feature extraction technique is proposed for iris recognition of high performance. We use one dimensional circular ring to represent iris features. The reduced and significant features afterward are extracted by Sobel Operator and 1-D wavelet transform. To improve the accuracy, this paper combines uses Euclidean Distance for classification.\",\"PeriodicalId\":221511,\"journal\":{\"name\":\"2012 6th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 6th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2012.6398476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2012.6398476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Feature based iris recognition system functioning on extraction of 2D features
In this paper a novel and simple iris feature extraction technique is proposed for iris recognition of high performance. We use one dimensional circular ring to represent iris features. The reduced and significant features afterward are extracted by Sobel Operator and 1-D wavelet transform. To improve the accuracy, this paper combines uses Euclidean Distance for classification.