手写数学符号的基元识别方法

对手写数学字符的联机识别进行了研究。首先分析了９４个常用数学符号的结构，指出这些符号均由１０个基本结构元组成，其次抽取数学符号的三个重要特征：基元矢量、基元之间的位置关系和基元长度矢量并采用了一种基元排序法，同时考虑匹配值和不匹配值以及增加几何约束改进了传统的动态规划匹配方法，并用改进的Ｋｕｈｎ－Ｍｕｎｋｒｅｓ算法求最佳匹配。在对２０人无限制书写的数学符号的识别试验中，正确识别率为９２．５２％，误

The Basic Element Method of Recogniting Handwritten Mathematical Symbols

An on-line recognition approach for the handwritten mathematical symbols is presented. Firstly, it analyses the structures of 94 commonly used mathematical symbols and concludes that all of them consist of 10 basic elements. Secondly, it proposes a new method of basic element ordering and reduces the number of standard symbols by extracting three primary features of mathematical symbols,namely,basic element vector, relative positions between basic elements,and basic element length vector. Finally, the traditional dynamic programming method is improved by considering matching and unmatching value and adding geometric restraints.Through improved Kohn-Munkres algorithm. During the recognition test of mathematical symbols handwritten by 20 subjects, correctness rate reaches 92.52%,incorrectness rate 3.03% and refusal rate 4.45%.