东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (10): 1397-1400+1409.DOI: -

• 论著 • 上一篇    下一篇

基于计盒维数和多小波的静脉图像特征提取

崔建江;贾旭;刘晶;丁万强;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-10-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60671050)

Vein image feature extraction based on box counting dimension and multiple wavelets

Cui, Jian-Jiang (1); Jia, Xu (1); Liu, Jing (1); Ding, Wan-Qiang (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-10-15 Published:2013-06-20
  • Contact: Cui, J.-J.
  • About author:-
  • Supported by:
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摘要： 为提高静脉识别过程中的特征匹配速度,提出了一种基于计盒维数全局特征和多小波的局部特征提取方法.该方法首先采用基于计盒维数法的特征提取技术来提取静脉纹理粗糙度特征作为全局特征,然后通过多小波分解来提取静脉图像的局部特征,分别提出了一维系数编码和多尺度量化编码的方法来描述静脉局部特征.对已有静脉图像的实验表明,提出的特征提取方法有效,并使相应匹配算法识别的准确率得到了提高.

关键词: 静脉识别, 特征提取, 计盒维数, 多小波

Abstract: A global/local feature extraction algorithm is proposed on the bases of box counting dimension and multiple wavelets to improve the matching rate in vein recognition process. In this algorithm the vein texture roughness is extracted as global feature by the box counting dimension, with the local features of vein image extracted by multiple wavelets decomposition and described by the encoding with one-dimension coefficients and that with multi-scale coefficients. It is proved by the test results of existing vein images that the proposed feature extraction algorithm is effective, and the recognition accuracy of its relevant matching algorithm improved.

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