基于二维特征提取的虹膜识别系统

2012 International Conference on System Engineering and Technology (ICSET) Pub Date : 2012-10-25 DOI:10.1109/ICSENGT.2012.6339341

G. Bindra, A. Agrawal, P. Sharma

{"title":"基于二维特征提取的虹膜识别系统","authors":"G. Bindra, A. Agrawal, P. Sharma","doi":"10.1109/ICSENGT.2012.6339341","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":325365,"journal":{"name":"2012 International Conference on System Engineering and Technology (ICSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Feature based iris recognition system functioning on extraction of 2D features\",\"authors\":\"G. Bindra, A. Agrawal, P. Sharma\",\"doi\":\"10.1109/ICSENGT.2012.6339341\",\"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\":325365,\"journal\":{\"name\":\"2012 International Conference on System Engineering and Technology (ICSET)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on System Engineering and Technology (ICSET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENGT.2012.6339341\",\"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 International Conference on System Engineering and Technology (ICSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENGT.2012.6339341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一种新颖简单的虹膜特征提取技术，用于虹膜的高性能识别。我们使用一维环形来表示虹膜特征。然后利用Sobel算子和一维小波变换提取图像的约简特征和显著特征。为了提高准确率，本文结合欧几里得距离进行分类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 International Conference on System Engineering and Technology (ICSET)

自引率

0.00%

发文量