计算机应用 ›› 2012, Vol. 32 ›› Issue (04): 1122-1125.DOI: 10.3724/SP.J.1087.2012.01122

• 图形图像技术 • 上一篇    下一篇

基于均衡离散曲率波变换的手背静脉识别

魏上清,顾晓东   

  1. 复旦大学 信息科学与工程学院,上海 200433
  • 收稿日期:2011-09-15 修回日期:2011-11-19 发布日期:2012-04-20 出版日期:2012-04-01
  • 通讯作者: 魏上清
  • 作者简介:魏上清(1986-),男,江苏徐州人,硕士研究生,主要研究方向:模式识别;顾晓东(1970-),男,江苏南通人,副教授,博士,主要研究方向:时空编码的神经网络、图像处理、模式识别。
  • 基金资助:
    国家自然科学基金资助项目

Palm-dorsal vein recognition based on uniform discrete curvelet transformation

WEI Shang-qing,GU Xiao-dong   

  1. Shool of Information Science and Technology, Fudan University, Shanghai 200433, China
  • Received:2011-09-15 Revised:2011-11-19 Online:2012-04-20 Published:2012-04-01
  • Contact: WEI Shang-qing

摘要: 针对滤波器尺度和方向的增加对识别速度影响较大的问题,提出了基于均衡离散曲率波变换(UDCT)的手背静脉识别方法。在进行手背静脉图像感兴趣区域提取和预处理的前提下,引用了均衡离散曲率波变换对感兴趣区域进行去滤波变换,然后对变换系数进行相位编码,计算编码统计直方图的卡方距离来进行静脉识别。实验结果表明,该方法在低质量的手背静脉图像情况下依然能得到较好的识别效果和较快的识别速度。

关键词: 手背静脉识别, 特征提取和匹配, 曲率波相位特征编码, 局部异或算子, 卡方距离

Abstract: Palm-dorsal vein recognition using Uniform Discrete Curvelet Transform (UDCT) was proposed in this paper. With the palm-dorsal Region Of Interest (ROI) extraction and image preprocessing, UDCT of the curvelet Transform was used on ROI. Then, the curvelet coefficients phase variance was encoded. Finally, the Chi-square distance of histogram of the coding was used for vein recognition. The experimental results show that this proposed method can identify palm-dorsal vein images with high robustness and high speed even with poor-quality images.

Key words: palm-dorsal vein recognition, feature extraction and verification, curvelet phase encoding, Local XOR Pattern (LXP), Chi-square distance