Periocular biometrics in the visible spectrum: A feasibility study

U. Park, A. Ross, Anil K. Jain
{"title":"Periocular biometrics in the visible spectrum: A feasibility study","authors":"U. Park, A. Ross, Anil K. Jain","doi":"10.1109/BTAS.2009.5339068","DOIUrl":null,"url":null,"abstract":"Periocular biometric refers to the facial region in the immediate vicinity of the eye. Acquisition of the periocular biometric does not require high user cooperation and close capture distance unlike other ocular biometrics (e.g., iris, retina, and sclera). We study the feasibility of using periocular images of an individual as a biometric trait. Global and local information are extracted from the periocular region using texture and point operators resulting in a feature set that can be used for matching. The effect of fusing these feature sets is also studied. The experimental results show a 77% rank-1 recognition accuracy using 958 images captured from 30 different subjects.","PeriodicalId":325900,"journal":{"name":"2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"257","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BTAS.2009.5339068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 257

Abstract

Periocular biometric refers to the facial region in the immediate vicinity of the eye. Acquisition of the periocular biometric does not require high user cooperation and close capture distance unlike other ocular biometrics (e.g., iris, retina, and sclera). We study the feasibility of using periocular images of an individual as a biometric trait. Global and local information are extracted from the periocular region using texture and point operators resulting in a feature set that can be used for matching. The effect of fusing these feature sets is also studied. The experimental results show a 77% rank-1 recognition accuracy using 958 images captured from 30 different subjects.
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
可见光谱中的眼周生物识别技术:可行性研究
眼周生物特征是指眼睛附近的面部区域。与其他眼部生物特征(如虹膜、视网膜和巩膜)不同,眼周生物特征的获取不需要高度的用户配合和近距离的捕捉。我们研究了使用个体眼周图像作为生物特征特征的可行性。使用纹理和点算子从眼周区域提取全局和局部信息,得到可用于匹配的特征集。研究了这些特征集的融合效果。实验结果表明,从30个不同的对象中捕获的958张图像的识别准确率为77%。
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
Multi-algorithm fusion with template protection Improvements in Active Appearance Model based synthetic age progression for adult aging A study on security evaluation methodology for image-based biometrics authentication systems Pitfall of the Detection Rate Optimized Bit Allocation within template protection and a remedy Quality based rank-level fusion in multibiometric systems
×
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