摘要
该文针对实际的混排文档图像,提出一种基于贝叶斯分类器的统计学习方法切分文字,并实现文字类别判断。该方法结构简单、计算量少、易于扩展功能,而且试验结果表明该方法切分效果好、文字类别判断准确。
Aim at the document image with both Chinese Characters and English characters,this paper present a character segmentation and language discrimination method based on Simple Bayes Classifier.This method's structure is very easy,and no much calculation is needed.The experiment results show that this method is very effective.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第10期83-85,共3页
Computer Engineering and Applications
基金
国家自然科学基金项目(编号 :60475007)
关键词
简单贝叶斯分类器
文字切分
文字类别判断
文字识别
simple bayes classifier,character segmentation,character language discrimination,OCR
