基于Radon变换的人脸识别

Razvan-Daniel Albu
{"title":"基于Radon变换的人脸识别","authors":"Razvan-Daniel Albu","doi":"10.1109/SIITME.2015.7342304","DOIUrl":null,"url":null,"abstract":"In this paper I will present a simple and efficient technique to create a biometric template that can be used to perform face recognition. This research work continues the investigation described in my previous papers, where I have presented a method that can detect spoof attacks, based on Radon transform. Even if Radon based approaches are broadly applicable to tomography, in this research work I will show how it can be successfully utilized to classify images and recognize faces.","PeriodicalId":174623,"journal":{"name":"2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Face recognition using Radon transform\",\"authors\":\"Razvan-Daniel Albu\",\"doi\":\"10.1109/SIITME.2015.7342304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper I will present a simple and efficient technique to create a biometric template that can be used to perform face recognition. This research work continues the investigation described in my previous papers, where I have presented a method that can detect spoof attacks, based on Radon transform. Even if Radon based approaches are broadly applicable to tomography, in this research work I will show how it can be successfully utilized to classify images and recognize faces.\",\"PeriodicalId\":174623,\"journal\":{\"name\":\"2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"volume\":\"166 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIITME.2015.7342304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIITME.2015.7342304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在本文中,我将介绍一种简单而有效的技术来创建可用于执行人脸识别的生物识别模板。这项研究工作继续了我在以前的论文中描述的调查,在那里我提出了一种基于Radon变换的可以检测欺骗攻击的方法。即使基于Radon的方法广泛适用于断层扫描,在这项研究工作中,我将展示如何成功地利用它来分类图像和识别人脸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face recognition using Radon transform
In this paper I will present a simple and efficient technique to create a biometric template that can be used to perform face recognition. This research work continues the investigation described in my previous papers, where I have presented a method that can detect spoof attacks, based on Radon transform. Even if Radon based approaches are broadly applicable to tomography, in this research work I will show how it can be successfully utilized to classify images and recognize faces.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信