TAN Ying,WANG Jun.Recent advances in finger vein based biometric techniques[J].CAAI Transactions on Intelligent Systems,2011,6(06):471-482.





Recent advances in finger vein based biometric techniques
谭营 12 王军 12
1.北京大学 机器感知与智能教育部重点实验室,北京100871;
2.北京大学 信息科学技术学院,北京100871
TAN Ying 12 WANG Jun 12
1.Key Laboratory of Machine Perception (MOE), Peking University, Beijing 100871, China;
2.School of Electronics Engineering and Computer Science, Peking University,Beijing 100871,China
biometric identification finger vein image enhancement feature extraction pattern matching
基于手指静脉的身份识别是一种新兴的生物身份识别技术,由于手指静脉身份识别具有强防伪、低成本、易获取等优良特性,在许多领域得到广泛应用,成为一种最重要的生物识别技术之一. 对手指静脉身份识别技术的现状和发展进行了总结和评述.首先,回顾了手指静脉身份识别的起源和发展过程,然后,总结了该技术的通用实现流程,对实现手指静脉的几大关键技术(如样本获取、图像增强、特征提取和匹配方法等)的最新研究成果进行了全面介绍.进一步,对现有典型方法的性能进行了系统评估.最后,总结了现有手指静脉识别技术的应用现状,展望了其发展前景,并指明了下一步的研究方向.
Biometrics based on finger vein patterns is a burgeoning biometric technique. It will undoubtedly become one of the most important techniques and receive extensive application in many fields because of its many virtues, such as protection against forgery, low cost, and ease of capture. This paper surveys the present condition and development of biometrics based on finger veins. First of all, the origin and development of finger vein based biometrics were reviewed; then, the general framework of finger vein based biometrics was presented. In particular, several key techniques for realizing finger vein based biometrics were examined, including sample image acquisition, image enhancement, feature extraction, and pattern matching. Furthermore, the performance of the stateoftheart algorithms for finger vein based biometrics was systematically evaluated. Finally, the current situation and development prospects of the application of finger vein based biometrics were summarized and its future research direction was further indicated.


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 MA Hui,WANG Kejun.A region of interest extraction method using rotation rectified finger vein images[J].CAAI Transactions on Intelligent Systems,2012,7(06):230.


收稿日期: 2011-09-15. 
基金项目:国家自然科学基金资助项目(60875080,61170057). 
通信作者:谭营. E-mail: ytan@pku.edu.cn.
谭营,男,1964年生,教授,博士生导师,博士,IEEE Senior Member. International Journal of Artificial Intelligence编辑、IJSIR、IES Journal B、 Intelligent Devices and Systems、Journal of Computer Science and Systems Biology副编辑,International Journal of KES、Applied Mathematical and Computational Sciences编委、ICSI2010、2011、2012大会主席,ISACI2012和ISNN2008程序委员会主席.IEEE计算智能协会ETTC委员.主要研究方向为计算智能、群体智能、机器学习方法、智能信息处理、数据挖掘与模式识别等.主持国家“863”计划、国家自然科学基金、国际合作交流项目等科研项目30余项.获得2009年度国家自然科学二等奖,中科院百人计划入选者.发表学术论文200余篇,获国家发明专利授权3项.
更新日期/Last Update: 2012-02-29