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文章基本信息

  • 标题:An Efficient dimension reduction algorithm to extract dorsal hand vein pattern based on Generalized Method of Moments and Moore-Penrose generalized inverse procedure
  • 作者:Naushad Ali Mamode Khan ; Maleika Heenaye-Mamode Khan
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2009
  • 卷号:9
  • 期号:12
  • 页码:44-48
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:In this paper, we present a Cartesian-based co-ordinate system (CBM) to represent dorsal hand vein pattern and also introduce a novel method to extract the dorsal hand vein pattern that is based on the generalized method of moments. However, this method leads to high dimensional covariance matrix which is singular or rank-deficient. To overcome this problem, we use a fast and accurate algorithm to compute the inverse using the Moore-Penrose method. The biometric system developed is tested on a database of 100 images. The false acceptance rate (FAR), false rejection rate (FRR) and the matching time are being computed.
  • 关键词:Dorsal hand vein pattern; generalized method of moments; Moore- Penrose inverse
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