Clever use of Meyer wavelet for iris recognition

I. Kallel, Sonda Ammar Bouhamed, Belhassen Akrout
{"title":"Clever use of Meyer wavelet for iris recognition","authors":"I. Kallel, Sonda Ammar Bouhamed, Belhassen Akrout","doi":"10.1109/ATSIP.2017.8075515","DOIUrl":null,"url":null,"abstract":"An iris recognition requires parametric modeling texture. The extracted model should characterize the individual corresponding to considered iris. Such a model is often referred to as biometric signature. Several approaches to uniquely specify an iris by extracting parameters characteristic of its texture exist in the literature. An original approach based on an analysis by the Meyer wavelet of the iris texture is detailed in this paper. A comparative study between our approach and some techniques that have been studied, implemented and tested in subsequent work is carried out on the CASIA V.1 database. The experimental results show that the proposed method has promising performances.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATSIP.2017.8075515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

An iris recognition requires parametric modeling texture. The extracted model should characterize the individual corresponding to considered iris. Such a model is often referred to as biometric signature. Several approaches to uniquely specify an iris by extracting parameters characteristic of its texture exist in the literature. An original approach based on an analysis by the Meyer wavelet of the iris texture is detailed in this paper. A comparative study between our approach and some techniques that have been studied, implemented and tested in subsequent work is carried out on the CASIA V.1 database. The experimental results show that the proposed method has promising performances.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
巧妙地利用Meyer小波进行虹膜识别
虹膜识别需要参数化纹理建模。所提取的模型应该表征与所考虑的虹膜相对应的个体。这样的模型通常被称为生物特征签名。文献中存在几种通过提取虹膜纹理特征参数来唯一指定虹膜的方法。本文详细介绍了一种基于Meyer小波分析虹膜纹理的新颖方法。在CASIA V.1数据库上,将我们的方法与在后续工作中已经研究、实现和测试的一些技术进行了比较研究。实验结果表明,该方法具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Speckle noise reduction in digital speckle pattern interferometry using Riesz wavelets transform A new GLBSIF descriptor for face recognition in the uncontrolled environments Saliency attention and sift keypoints combination for automatic target recognition on MSTAR dataset A comparative study of interworking methods among differents rats in 5G context Diagnosis of osteoporosis disease from bone X-ray images with stacked sparse autoencoder and SVM classifier
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1