Sift algorithm to improve performance of Chinese character classifier using linear decision function

被引：0

作者：

Jin, YJ ^{[1
]}

Zhang, M ^{[1
]}

Ma, SP ^{[1
]}

机构：

[1] Tsing Hua Univ, Dept Comp Sci & Technol, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

Chinese character classification; linear classifier; Fisher linear decision function;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new method to improve the performance of Chinese character classifier. This method examines the candidates of an existing classifier using linear decision Function to select the most probable one. The algorithm together with a complete scheme has been proposed. The possible improvement of the performance has been estimated based on the experimental inspection on the separability of Chinese characters. The result shows that recognition accuracy can be increased dramatically. This means that the algorithm is practical.

引用

页码：2760 / 2764

页数：5