东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (9): 1236-1240.DOI: -

• 论著 • 上一篇    下一篇

基于几何形状和小波矩的静脉特征提取与匹配

崔建江;宋星月;陈国坤;陈大力;   

  1. 东北大学信息科学与工程学院;辽宁金融职业学院信息技术系;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-09-15 发布日期:2013-06-22
  • 通讯作者: Cui, J.-J.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60671050)

Feature extraction and matching of vein based on geometrical shape and wavelet moment

Cui, Jian-Jiang (1); Song, Xing-Yue (2); Chen, Guo-Kun (1); Chen, Da-Li (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Department of Information Technology, Liaoning Finance Vocational College, Shenyang 110122, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-09-15 Published:2013-06-22
  • Contact: Cui, J.-J.
  • About author:-
  • Supported by:
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摘要： 针对手背静脉识别系统的特征提取与匹配算法研究问题,提出了一种粗匹配与细匹配结合的方法.该方法通过分析图像特征描述符特性,考虑静脉图像的全局信息,确定提取具有平移、旋转、比例和仿射不变性的边界和区域的形状特征进行粗匹配;为了考虑局部特征使形状描述符具有良好的易分辨能力,依据小波矩具有小波多尺度分析和不变矩的优点,确定了基于小波矩的匹配为细匹配的方案,实验结果表明识别率得到了明显提高.

关键词: 生物特征识别, 手背静脉, 不变矩, 小波矩, 特征匹配

Abstract: For the feature extraction and matching algorithm to recognize the vein inside the back of human hand, a matching method combining generality with particularity is proposed. In the generality phase the characteristics of image feature descriptors are analyzed, involving the global information on vein images to determine the shape descriptors for boundary/region of which the translation, rotation, scaling and affinity are all invariable. And in the particularity phase based on wavelet moment the local features are considered to make better the shape descriptor for its higher resolution capability, with the advantages of wavelet moment taken because of its multi-scale analysis and invariant moment of wavelet. Testing results showed the highly improved recognition rate.

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