摘要： 针对小字符集脱机手写体汉字识别中的多分类器集成问题，提出了一种简单有效的综合方法，实验表明综合后系统的识别率明显高于单个分类器的识别率。

关键词: 分类器, 隐马尔可夫模型, 模糊支持向量机

Abstract: A simple and effective method of combining multiple classifiers is presented to solve the problem of the integration of multiple classifiers in the recognition of the small-set offline handwritten Chinese characters. The experimental results have proved that the combined result is obviously better than those of the single classifiers.

中图分类号: 

• TP391.4