基于静脉的生物识别实验及其新进展

Wenhai Wu, Feiyuan Lu, Guojian Cheng, C. shi
{"title":"基于静脉的生物识别实验及其新进展","authors":"Wenhai Wu, Feiyuan Lu, Guojian Cheng, C. shi","doi":"10.1109/GCIS.2012.74","DOIUrl":null,"url":null,"abstract":"The pattern of blood veins is unique, even in identical twins. The human palms have a broad and complicated vascular pattern and thus contain many kinds of features. The Vein Based Biometric (VBB) depends on measurement of the vascular pattern made by the blood vessels on the back of the hand. The VBB technology is the world's leading and most promising biometric technology and can bring security and convenience to people in many areas. This paper firstly reviews the concepts and types of biometrics, then discusses VBB and vein image processing. According to the study of existing algorithms and techniques, a hand vein image segmentation and refinement algorithm is introduced in this section, a normalized image of the hand veins is processed by the Gaussian filtering and median filtering, in order to remove certain amount of speckle noise. By using local dynamic threshold segmentation NiBlack algorithm, a coarse vein image is produced. An image of veins lines with smaller distortion is obtained by refinement algorithm. It is also show some experimental results of VBB. The last section of this paper is about some new developments of biometrics.","PeriodicalId":337629,"journal":{"name":"2012 Third Global Congress on Intelligent Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A Vein Based Biometric Experiment and Some New Developments\",\"authors\":\"Wenhai Wu, Feiyuan Lu, Guojian Cheng, C. shi\",\"doi\":\"10.1109/GCIS.2012.74\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The pattern of blood veins is unique, even in identical twins. The human palms have a broad and complicated vascular pattern and thus contain many kinds of features. The Vein Based Biometric (VBB) depends on measurement of the vascular pattern made by the blood vessels on the back of the hand. The VBB technology is the world's leading and most promising biometric technology and can bring security and convenience to people in many areas. This paper firstly reviews the concepts and types of biometrics, then discusses VBB and vein image processing. According to the study of existing algorithms and techniques, a hand vein image segmentation and refinement algorithm is introduced in this section, a normalized image of the hand veins is processed by the Gaussian filtering and median filtering, in order to remove certain amount of speckle noise. By using local dynamic threshold segmentation NiBlack algorithm, a coarse vein image is produced. An image of veins lines with smaller distortion is obtained by refinement algorithm. It is also show some experimental results of VBB. The last section of this paper is about some new developments of biometrics.\",\"PeriodicalId\":337629,\"journal\":{\"name\":\"2012 Third Global Congress on Intelligent Systems\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third Global Congress on Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCIS.2012.74\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2012.74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

即使在同卵双胞胎中,血管的模式也是独一无二的。人类手掌的血管形态广泛而复杂,因而包含了多种特征。基于静脉的生物识别技术(VBB)依赖于对手背血管形成的血管模式的测量。VBB技术是世界上最领先、最有发展前途的生物识别技术,可以在许多领域为人们带来安全与便利。本文首先介绍了生物识别的概念和类型,然后讨论了VBB和静脉图像处理。在对现有算法和技术进行研究的基础上,本节介绍了一种手部静脉图像的分割和细化算法,通过高斯滤波和中值滤波对归一化后的手部静脉图像进行处理,去除一定数量的斑点噪声。采用局部动态阈值分割NiBlack算法,生成粗纹理图像。通过细化算法得到了变形较小的纹理图像。并给出了VBB的一些实验结果。最后介绍了生物识别技术的一些新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A Vein Based Biometric Experiment and Some New Developments
The pattern of blood veins is unique, even in identical twins. The human palms have a broad and complicated vascular pattern and thus contain many kinds of features. The Vein Based Biometric (VBB) depends on measurement of the vascular pattern made by the blood vessels on the back of the hand. The VBB technology is the world's leading and most promising biometric technology and can bring security and convenience to people in many areas. This paper firstly reviews the concepts and types of biometrics, then discusses VBB and vein image processing. According to the study of existing algorithms and techniques, a hand vein image segmentation and refinement algorithm is introduced in this section, a normalized image of the hand veins is processed by the Gaussian filtering and median filtering, in order to remove certain amount of speckle noise. By using local dynamic threshold segmentation NiBlack algorithm, a coarse vein image is produced. An image of veins lines with smaller distortion is obtained by refinement algorithm. It is also show some experimental results of VBB. The last section of this paper is about some new developments of biometrics.
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
期刊最新文献
Temperature Prediction Based on Different Meteorological Series The Design and Application for a Bio-inspired Nonlinear Intelligent Controller Problem-Specific Knowledge Based Heuristic Algorithm to Solve Satellite Broadcast Scheduling Problem Micro Pitch and Vary Speed for Extreme Value Search MPPT Method of DFIG Academic Relation Classification Rules Extraction with Correlation Feature Weight Selection
×
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