J4 ›› 2011, Vol. 49 ›› Issue (02): 294-298.

• 计算机科学 • 上一篇    下一篇

脊波分析在手背静脉识别中的应用

韩笑1, 徐坤2, 马驷良1   

  1. 1. 吉林大学 数学学院 长春 130012; 2. 锦州师范高等专科学校 现代教育技术中心, 辽宁 锦州 121000
  • 收稿日期:2010-03-20 出版日期:2011-03-26 发布日期:2011-06-14
  • 通讯作者: 马驷良 E-mail:slma@jlu.edu.cn

Application of Ridgelet in Dorsal Hand Vein Recognition

HAN Xiao1, XU Kun2, MA Siliang1   

  1. 1. College of Mathematics, Jilin University, Changchun 130012, China;2. Center of Modern Education Technology, Jinzhou Teachers Training College, Jinzhou 121000, Liaoning Province, China
  • Received:2010-03-20 Online:2011-03-26 Published:2011-06-14
  • Contact: MA Siliang E-mail:slma@jlu.edu.cn

摘要:

提出一种基于改进的有限脊波变换的手背静脉识别算法. 利用脊波理论适合于表示直线奇异性的特点, 对手背静脉特征进行分析. 使用改进的有限脊波变换对手背静脉图像进行分解, 得到不同分解尺度下手背静脉的多分辨脊波特征, 再通过定义多分辨脊波特征距离进行模式匹配. 实验结果表明, 与传统静脉特征提取方法相比, 该方法较完整地保留了静脉的原始信息, 提高了运行速度并降低了算法复杂度.

关键词: 有限脊波变换; 有限Radon变换; 手背静脉

Abstract:

One method of dorsal hand vein recognition based on improved FRIT was proposed. Analyzing image line’s singularity, we can obtain the
 characteristics of the dorsal hand vein. That’s just the ability of ridgelet transform. The processing is that hand vein images are decomposed by improved FRIT firstly; then multiscale ridgelet features (MRF) of vein image are obtained in different decomposition scales; finally, pattern matching was done by defining MRF distance. Compared with other vein recognition methods, our approach completely preserves original information of the vein. It not only increases the speed of system but also reduces the complexity of the algorithm.

Key words:  finite ridgelet transform, finite Radon transform, dorsal hand vein

中图分类号: 

  • TP391.4