Linking Broken Characters in Online Handwritten Chemical Formulas

Author

Zhao, Lin ; Yan, Hu ; Shi, Guangshun ; Yang, Jufeng

Author_Institution

Inst. of Machine Intell., Nankai Univ., Tianjin, China

Volume

2

fYear

2009

fDate

26-27 Aug. 2009

Firstpage

154

Lastpage

157

Abstract

In this paper, we present an effective approach to link the broken characters in online handwritten chemical formulas. By observing a large number of formula samples, we classify the common broken problems in online handwritten chemical formulas into three types, ldquopoint-likerdquo broken type, liner-type and arc-type. The proposed method combines the strokes characteristic of handwritten chemical characters, online information and structural characteristics of chemical formulas. The main process can be divided into three stages: preprocessing, location of broken strokes and linking. Experiment results indicate that the proposed method can not only satisfy the real-time demand, but also achieve a high linking accuracy of 94.0%.

Keywords

chemistry computing; handwritten character recognition; pattern classification; arc-type stroke; broken character linking; liner-type stroke; online handwritten chemical formula; point-like broken stroke; Chemical analysis; Cybernetics; Handwriting recognition; Intelligent systems; Joining processes; Machine intelligence; Man machine systems; Spline; Statistics; Writing; Broken; Online handwritten chemical formula;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on

Conference_Location

Hangzhou, Zhejiang

Print_ISBN

978-0-7695-3752-8

Type

conf

DOI

10.1109/IHMSC.2009.162

Filename

5336021