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基于贝叶斯分类器的混排文字切分与分类
引用本文:肖波,徐蔚然.基于贝叶斯分类器的混排文字切分与分类[J].计算机工程与应用,2005,41(10):83-85.
作者姓名:肖波  徐蔚然
作者单位:北京邮电大学95号信箱,北京,100876;北京邮电大学95号信箱,北京,100876
基金项目:国家自然科学基金项目(编号 :60475007)
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。

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
文章编号:1002-8331-(2005)10-0083-03

Character Segmentation and Character Language Discrimination Based on Bayes Classifier
Xiao Bo,Xu Weiran.Character Segmentation and Character Language Discrimination Based on Bayes Classifier[J].Computer Engineering and Applications,2005,41(10):83-85.
Authors:Xiao Bo  Xu Weiran
Abstract: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.
Keywords:simple bayes classifier  character segmentation  character language discrimination  OCR
本文献已被 CNKI 维普 万方数据 等数据库收录!
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