Combining multiple classifiers based on statistical method for handwritten Chinese character recognition

被引：0
|
作者：
Lin, L [1 ]
Wang, XL [1 ]
Liu, BQ [1 ]
机构：
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150006, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
combining multiple classifiers; fusion strategies; handwritten Chinese character recognition;
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：
In various application areas of pattern recognition, combining multiple classifiers is regarded as a new method for achieving a substantial gain in performance of systems. This paper presents a novel method for handwritten Chinese character recognition to combine multiple classifiers based on statistics. Fusion strategies are discussed for providing a basis for combining classifiers. These combination strategies are experimentally tested on online handwritten Chinese character recognition system. In our experiments, other combination approaches are also involved for comparison. Experiment results show that their effectiveness is considered.
引用
收藏
页码：252 / 255
页数：4
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