• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (10): 186-190.

• 论文 • 上一篇    

用于特征提取的静脉图像质量评价方法

黄忠主1,穆春迪1,谢剑斌1,刘通1,陈章永2   

  1. (1.国防科学技术大学电子科学与工程学院,湖南 长沙 410073;2.中钞实业有限公司,北京 100052)
  • 收稿日期:2011-06-24 修回日期:2011-09-26 出版日期:2013-10-25 发布日期:2013-10-25
  • 基金资助:

    国家863高技术研究发展计划资助项目(2009AA04A101);公安部创新计划资助项目(2010YYCXHNST064)

Vein image quality assessment method for feature extraction        

HUANG Zhongzhu1,MU Chundi1,XIE Jianbin1,LIU Tong1,CHEN Zhangyong2   

  1. (1.School of Electronic Science and Engineering, National University of Defense Technology,Changsha 410073;
    2.ZHONGCHAO Enterprise Co.,Ltd.,Beijing 100052,China )
  • Received:2011-06-24 Revised:2011-09-26 Online:2013-10-25 Published:2013-10-25

摘要:

针对手指静脉图像评价速度与效果的要求,提出了一种基于区域列平均梯度特征与纹理粗糙度特征相结合的手指静脉图像质量快速评价方法。该方法首先定义区域列平均梯度特征,并依据此特征进行一次质量判决,满足要求则进入手指注册阶段;否则再利用纹理粗糙度特征进行二次质量判决,满足要求则进行手指注册,否则提示用户更换手指进行注册。仿真实验表明,本文方法评价效果好,速度快,能够满足手指静脉识别的要求。

关键词: 区域列平均梯度, 纹理粗糙度, 手指静脉识别, 图像质量评价

Abstract:

In order to achieve quick and reliable assessment of finger vein image, the paper proposes an assessment method of vein image quality based on the features of regional column average gradient and texture roughness. In this method, firstly, the feature of regional column average gradient is defined on the basis of which the first quality assessment is made. If the requirement is met, finger registration will be done directly. Otherwise the second assessment is conducted based on the feature of texture roughness. If the requirement is met this time, finger registration will be done. If not, the system prompts the user for another finger to register. The results of simulation experiment show that this method is effective and efficient and it is able to meet the requirement of finger vein recognition.

Key words: regional column average gradient;texture roughness;finger vein recognition;image quality assessment