摘要
本文通过实验研究了在汉字识别中应用线性分类器的可能性 ,考察了汉字之间的线性可分性。实验使用了两种主要的线性分类器 :Fisher线性判别和感知器。实验检验每一对汉字的线性可分性。实验结果表明 ,汉字之间的线性分类性是相当好的。尤其是Fisher线性判别 ,不能成功线性分类的汉字仅占百万分之 4.2 5。这显示了在汉字识别中应用线性分类器是有着巨大的潜力的。同时 ,线性分类实验结果还可用来检验所选取特征的好坏 ,有利于客观的评价特征。
This paper studies the linear separability of Chinese characters through experiment and discusses the probability of applying linear classifier in Chinese character recognition.Two linear classifiers are used in the experiment.They are Fisher Linear Discriminant (FLD) and Perceptron.The experiment examines the linear separability of a pair of Chinese characters.The result is pretty satisfactory.Especially,the result of Fisher Linear Discriminant is very good.There are only 4.25 millionths pairs that cannot be linear separated.This shows that the application of linear classifier in Chinese character recognition is potential.On the other hand,this method can be applied to test the features used in recognition.
出处
《中文信息学报》
CSCD
北大核心
2000年第2期55-59,共5页
Journal of Chinese Information Processing
基金
国家自然科学基金
"86 3"高技术项目资助
关键词
汉字识别
线性分类器
模式识别
Chinese character recognition Linear Classification Fisher Linear Discriminant Perceptron
