A System for Recognizing Online Handwritten Mathematical Expressions and Improvement of Structure Analysis

被引：17

作者：

Anh Duc Le ^{[1
]}

Truyen Van Phan ^{[1
]}

Nakagawa, Masaki ^{[1
]}

机构：

[1] Tokyo Univ Agr & Technol, Dept Comp & Informat Sci, Fuchu, Tokyo 183, Japan

来源：

2014 11TH IAPR INTERNATIONAL WORKSHOP ON DOCUMENT ANALYSIS SYSTEMS (DAS 2014) | 2014年

关键词：

online recognition; handwritten mathematical expressions; 2D Context Free Grammar; CYK parsing algorithm; RECOGNITION;

D O I：

10.1109/DAS.2014.52

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a system for recognizing online handwritten mathematical expressions (MEs) and improvement of structure analysis. We represent MEs in Context Free Grammars (CFGs) and employ the Cocke-Younger-Kasami (CYK) algorithm to parse 2D structure of on-line handwritten MEs and select the best interpretation in terms of symbol segmentation, recognition and structure analysis. We propose a method to learn structural relations from training patterns without any heuristic decisions by using two SVM models. We employ stroke order to reduce the complexity of the parsing algorithm. Moreover, we revise structure analysis. Even though CFG does not resolve ambiguities in some cases, our method still gives users a list of candidates that contain expecting result. We evaluate our method in the CROHME 2013 database and demonstrate the improvement of our system in recognition rate as well as processing time.

引用

页码：51 / 55

页数：5

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