The Research of ISOETRP Clustering Algorithm on Optical Mathematical Symbols Recognition
A mathematical symbol recognition approach based on ISOETRP Clustering Algorithm is proposed in this paper. Mathematical symbol is one kind of special image symbols, different from ordinary text character in several aspects. For this point, firstly, one special features extraction algorithm is proposed, then two kinds of Classifier are used, one is Minimum Distance Classifier, another is Tree Classifier based ISOETRP clustering Algorithm used to improve the results. Five hundred isolated Mathematical Formulas including 10000 symbols are picked out for testing, and the recognition ratio reaches at 95％. The experimental results show that Tree Classifier is superior to Minimum Distance Classifier, and this method can be applied to practice.
ISOETRP Clustering Algorithm Optical Mathematical Symbols Recognition
Lihua Li Rong Wang Jintao Li Ge Wang
College of security & protection Chinese people’s public security university Beijing, China Beijing Tsinghua Sunway New Technology Development CO.,ltd Beijing, China
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-4
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）