计算机与现代化Issue(12)：145-148,154,5.DOI:10.3969/j.issn.1006-2475.2013.12.034
一种手写图文分离方法
A Method of Handwriting Texts and Shapes Separation
摘要
Abstract
As a technology to improve human-computer interaction , handwriting recognition is becoming more and more impor-tant.However, the distinction of handwriting texts and shapes has not drawn enough attention .In this paper, we designed and implemented a handwriting text and shape separation approach based on Weka .The experiment results based on three classifica-tion techniques , LogitBoost , RandomForest and LogitBoost , show that LogitBoost performances best .Through a combination of these three classifiers , shapes can be recognized more accurately , while the precision of text is limited by the classifier with lowest accuracy.Moreover, the effect of different features to the results is analyzed based on Information Gain Method .关键词
手写识别/数据挖掘/图文分离/分类模型Key words
sketch recognition/data mining/text-shape separation/classification model分类
信息技术与安全科学引用本文复制引用
胡兴鸿,施大鹏,冯桂焕..一种手写图文分离方法[J].计算机与现代化,2013,(12):145-148,154,5.基金项目
国家自然科学基金资助项目 （）
