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›› 2005, Vol. 31 ›› Issue (03): 177-.

• 论文 • 上一篇    下一篇

样本库的形成与签字鉴别的分类

赵永健,娄兰芳,李永勃   

  1. 山东大学威海分校信息工程学院,山东大学威海分校信息工程学院,山东大学威海分校信息工程学院 威海 264209
  • 发布日期:2005-02-15

Pattern Library Formation and Signature Identification Classification

ZHAO Yongjian, LOU Lanfang, LI Yongbo   

  1. (Information Engineering Institute, Shandong University at Weihai, Weihai 264209)
  • Published:2005-02-15

摘要: 为了形成稳定有效的签字样本库,利用Fisher鉴别准则即为Rayleigh商这一特点,根据广义Rayleigh商的极值性质,提出了一种如何在样本库的形成过程中采用学习机制的新方法,进而设计出符合系统特点的分类器。经验证该方法具有良好的稳定性与可靠性。

关键词: 小波变换, Fisher鉴别准则, 特征抽取, K-L变换, 阈值

Abstract: In order to form a stable and effective pattern library, the method is developed based on the fact that the Fisher distinction criterion function is a generalized Rayleigh quotient in essence. The extremum properties of generalized Rayleigh quotient are analyzed and a new way is given by studying system of organization in the course of producing pattern library, so a sorter is designed which adapt to the system peculiarity. This algorithm has good stability and reliability to the experiment.

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