基于稀疏保持投影的眉毛识别

Xinwu Yang, Xiaojun Xu, Chunnian Liu
{"title":"基于稀疏保持投影的眉毛识别","authors":"Xinwu Yang, Xiaojun Xu, Chunnian Liu","doi":"10.1109/ANTHOLOGY.2013.6784948","DOIUrl":null,"url":null,"abstract":"In order to study the human eyebrow as a novel biometric feature, we proposed an eyebrow recognition method based on sparsity preserving projections (SPP). SPP has already been successfully applied in face recognition, but it has not been applied in other biometric recognition. In this paper, we use SPP in eyebrow recognition, conduct experiments on an eyebrow image database taken from 32 people to verify the feasibility and validity of eyebrow recognition based on this method. In the meantime we also verified the feasibility of eyebrow used as a unique biometric feature for personal identification.","PeriodicalId":203169,"journal":{"name":"IEEE Conference Anthology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Eyebrow recognition based on sparsity preserving projections\",\"authors\":\"Xinwu Yang, Xiaojun Xu, Chunnian Liu\",\"doi\":\"10.1109/ANTHOLOGY.2013.6784948\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to study the human eyebrow as a novel biometric feature, we proposed an eyebrow recognition method based on sparsity preserving projections (SPP). SPP has already been successfully applied in face recognition, but it has not been applied in other biometric recognition. In this paper, we use SPP in eyebrow recognition, conduct experiments on an eyebrow image database taken from 32 people to verify the feasibility and validity of eyebrow recognition based on this method. In the meantime we also verified the feasibility of eyebrow used as a unique biometric feature for personal identification.\",\"PeriodicalId\":203169,\"journal\":{\"name\":\"IEEE Conference Anthology\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference Anthology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTHOLOGY.2013.6784948\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference Anthology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTHOLOGY.2013.6784948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

为了研究人类眉毛这一新的生物特征,提出了一种基于稀疏保持投影(SPP)的眉毛识别方法。SPP已成功应用于人脸识别,但尚未应用于其他生物特征识别。本文将SPP应用于眉毛识别中,在32人的眉毛图像数据库上进行了实验,验证了基于该方法的眉毛识别的可行性和有效性。同时,我们也验证了眉毛作为一种独特的生物特征用于个人身份识别的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eyebrow recognition based on sparsity preserving projections
In order to study the human eyebrow as a novel biometric feature, we proposed an eyebrow recognition method based on sparsity preserving projections (SPP). SPP has already been successfully applied in face recognition, but it has not been applied in other biometric recognition. In this paper, we use SPP in eyebrow recognition, conduct experiments on an eyebrow image database taken from 32 people to verify the feasibility and validity of eyebrow recognition based on this method. In the meantime we also verified the feasibility of eyebrow used as a unique biometric feature for personal identification.
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