Using association rules to improve Chinese handwritten character recognition

被引：0
|
作者：
Zhen, LX [1 ]
Dai, RW [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Artificial Intelligence Lab, Beijing 100080, Peoples R China
来源：
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年
关键词：
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：
Association rules are useful for determining correlation between attributes of a relation and have applications in marketing, financial and retail sectors. In this paper, we present an approach for combining handwritten character classifiers based on association rules, which reflect the correlation between the classifiers. The experimental results show that the association rules improve the performances of the integrated system significantly. An experimental comparison of two combination schemes (ILM, NISL) [1] is also provided.
引用
收藏
页码：2554 / 2557
页数：4
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