J4 ›› 2010, Vol. 48 ›› Issue (02): 245-250.

• 计算机科学 • 上一篇    下一篇

手背静脉特征提取算法

韩笑1, 冀进朝2, 左平3, 张禹2   

  1. 1. 吉林大学 数学学院, 长春 130012; 2. 吉林大学 计算机科学与技术学院, 长春 130012;3. 空军航空大学 基础部, 长春 130022
  • 收稿日期:2009-07-10 出版日期:2010-03-26 发布日期:2010-03-22
  • 通讯作者: 张禹 E-mail:zy26@msn.com

Recognition Algorithm of Dorsal Hand Vein

HAN Xiao1, JI Jinchao2, ZUO Ping3, ZHANG Yu2   

  1. 1. College of Mathematics, Jilin University, Changchun 130012, China;2. College of Computer Science and Technology, Jilin University, Changchun 130012, China;3. Department of Foundation, Aviation University of Air Force, Changchun 130022,
     China
  • Received:2009-07-10 Online:2010-03-26 Published:2010-03-22
  • Contact: ZHANG Yu E-mail:zy26@msn.com

摘要:

提出一种基于有限Radon变换(FRAT)的手背静脉识别新方法. 在考虑手背静脉图像“线状”特点的基础上, 先将手背静脉图像 “分块”, 再对分块后的图像进行FRAT变换, 并提出一种向量非均衡分布可得最大值的方法, 提取手背静脉图像纹理特征, 最后通过特征匹配进行分类识别. 结果表明: 与传统的Hough变换和离散Radon变换相比, 新方法提高了目标直线特征的检测速度; 在有800个样本的数据库上进行实验, 获得了96.5%的识别率, 表明了算法的有效性.

关键词: 有限Radon变换(FRAT), 手背静脉, 特征提取算法

Abstract:

A new method for dorsal hand vein recognition based on FRAT was proposed. We firstly partitioned these hand vein images into blocks on the basis of  their “line” features; then did FRAT on the block images, and put up a new method to get the maximum by means of the  nonequilibrium distribution of vector in order to get the texture features; finally,  obtained classification results through feature matching. Compared with discrete Radon transform and traditional Hough transform, our method improves the detection speed of straight line features. At the same time, our method was applied to the test of  800 samples, showing a recognition rate of  96.5%. It has demonstrated that this algorithm is effective.

Key words: finite Radon transform (FRAT), dorsal hand vein, recognition algorithm

中图分类号: 

  • TP391.4