An optimal K-L transform method for feature extraction

被引：2

作者：

Yang, J ^{[1
]}

Yang, JY ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Comp Sci, Nanjing 210094, Peoples R China

来源：

IMAGE EXTRACTION, SEGMENTATION, AND RECOGNITION | 2001年 / 4550卷

关键词：

optimal K-L transform; feature extraction; Fisher criterion; handwritten digit recognition;

D O I：

10.1117/12.441457

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A combined optimal K-L expansion method (COKLT) is proposed in this paper. The first (c-1) axes of COKLT are Fisher criterion optimal, and the others are the entropy criterion optimal. The experimental results on CENPARMI handwritten numeral database show that the proposed method is effective.

引用

页码：239 / 244

页数：6