Personal identification based on dorsal palm blood vessel pattern by texture feature

A. Srinithi, B. Goplalakrishnana
{"title":"Personal identification based on dorsal palm blood vessel pattern by texture feature","authors":"A. Srinithi, B. Goplalakrishnana","doi":"10.1109/ICEICE.2017.8191952","DOIUrl":null,"url":null,"abstract":"The physiological characteristic of the people such as finger-print, voice, iris, face or facial expression, are the biometrics used for personal authentication of the people to access control. For last few years the attention drawn over these substantial biometrics and have been applied for commercial purpose. In recent time pattern belongs to dorsal palm vein impressed by those applications for their uniqueness, unaffordable and non presumptuous by others. Veins are the blood vessels that carry blood toward the heart, present throughout the body as tubes. The vein pattern is defines as biometric identification technique through the analyzing the pattern of blood vessels visible under skin of the person. The dorsal palm vein is an easy to focal and there is large amount of vessels over there, which never change its location over entire life and it is unique for definite. The work is compare with template in database if get matched by texture feature based on local binary pattern (LBP) and WLMP then the authentication permit the person for the control access.","PeriodicalId":110529,"journal":{"name":"2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICE.2017.8191952","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

The physiological characteristic of the people such as finger-print, voice, iris, face or facial expression, are the biometrics used for personal authentication of the people to access control. For last few years the attention drawn over these substantial biometrics and have been applied for commercial purpose. In recent time pattern belongs to dorsal palm vein impressed by those applications for their uniqueness, unaffordable and non presumptuous by others. Veins are the blood vessels that carry blood toward the heart, present throughout the body as tubes. The vein pattern is defines as biometric identification technique through the analyzing the pattern of blood vessels visible under skin of the person. The dorsal palm vein is an easy to focal and there is large amount of vessels over there, which never change its location over entire life and it is unique for definite. The work is compare with template in database if get matched by texture feature based on local binary pattern (LBP) and WLMP then the authentication permit the person for the control access.
基于纹理特征的掌背血管模式身份识别
人的生理特征如指纹、声音、虹膜、面部或面部表情等,都是用来对人进行个人身份验证的生物识别技术。在过去的几年里,人们的注意力集中在这些实质性的生物特征上,并已被应用于商业目的。在最近的时间模式属于掌背静脉,这些应用打动了他们的独特性,不可负担的和不冒昧的其他人。静脉是将血液输送到心脏的血管,像管子一样遍布全身。静脉模式被定义为通过分析人体皮肤下可见血管模式的生物识别技术。手掌背静脉是一个容易聚焦的部位,那里有大量的血管,其位置在一生中从未改变,具有一定的独特性。将基于局部二值模式(LBP)和WLMP的纹理特征与数据库中的模板进行匹配,并与之进行比较,然后进行认证,允许人员进行控制访问。
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 求助全文
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