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.
中图分类号:
赵永健,娄兰芳,李永勃. 样本库的形成与签字鉴别的分类[J]. , 2005, 31(03): 177-.
ZHAO Yongjian, LOU Lanfang, LI Yongbo. Pattern Library Formation and Signature Identification Classification[J]. , 2005, 31(03): 177-.