基于多特征模糊模式识别的公式符号关系判定  

Identification of relationships between mathematical notations based on multi-features fuzzy pattern recognition

作　　者：田学东[1] 吴丽红[1] 赵蕾蕾[1] 

机构地区：[1]河北大学数学与计算机学院,河北保定071002

出　　处：《计算机工程与应用》2009年第5期186-188,共3页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60772073);河北省科学技术研究与发展计划项目(No.06213598);河北省教育厅科学研究重点项目(No.ZH2007104)~~

摘　　要：数学表达式的识别过程中,结构分析是非常重要的一步。而符号关系的判定又是结构分析的关键。然而符号间关系的不确定性导致数学表达式运算含义的模糊性,已经成为数学公式识别中结构分析的一大难点。通过大量的统计数据,抽取出较为明显的特征,并引入多特征模糊模式识别的方法,建立隶属函数来判断印刷体数学公式符号的关系。实验结果表明,该方法适用范围较广,准确率较高,具有较强的鲁棒性。Structural analysis is an important step during the recognition process of mathematical expressions.And relationships between symbols is a key of structural analysis.However,the indefinition of the relationships often lead to ambiguity.And it has become difficulty to structural analysis of mathematical expression.This paper extracts visible features,and uses multi-features fuzzy pattern recognition to create subjection function in order to judge the relationship by statistic data.The result shows that this method can be applied in wider scope,its correct-rate is higher,and it is more robust.

关 键 词：数学公式识别 结构分析 符号关系 多特征模糊模式识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]