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红外光指静脉图像采集及其特征提取技术的研究
引用本文:江虹, 郭树旭,.红外光指静脉图像采集及其特征提取技术的研究[J].光电子.激光,2011(9):1431-1434.
作者姓名:江虹  郭树旭  
作者单位:吉林大学电子科学与工程学院; 长春工业大学电气与电子工程学院;
基金项目:吉林省科技发展计划应用基础类资助项目(20090505)
摘    要:提出了一种应用于指静脉光学图像采集系统的新型光路设计,实现了基于最大曲率方法的指静脉提取,并对系统的有效性进行了实验验证。结果表明,采用本文方法的指静脉识别错误匹配率(FAR)为1.67%。

关 键 词:生物识别  近红外成像  特征提取

Study on near infrared finger vein image acquisition and vein pattern extraction
JIANG Hong,GUO Shu-xu.Study on near infrared finger vein image acquisition and vein pattern extraction[J].Journal of Optoelectronics·laser,2011(9):1431-1434.
Authors:JIANG Hong  GUO Shu-xu
Affiliation:College of Electrical and Electronic Engineering,Jilin University,Changchun 130012,China;2.College of Electronic Science and Engineering,Changchun University of Technology,Changchun 130012,China
Abstract:In recent years,the vein recognition has opened up biometric technology′s new eras.The optical image quality of finger vein acquisition and the accuracy of vein pattern extraction are key issues.In this paper,a novel optical illuminating/detecting method is proposed for the near infrared finger vein image acquisition system,and a finger vein pattern extraction method based on the maximum curvature mechanism is realized.The effectiveness of the whole system is experimentally verified.The experimental results show that the FAR is 1.67%.
Keywords:biometrics  near-infrared imaging  feature extraction
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