An improved online handwriting Thai character recognition

Conference proceedings article

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Publication Details

Author list: Jamjuntr P., Dejdumrong N.

Publisher: Hindawi

Publication year: 2011

Start page: 87

End page: 91

Number of pages: 5

ISBN: 9780769544847

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80755189242&doi=10.1109%2fCGIV.2011.39&partnerID=40&md5=398fbd2f1cc484b469e9170de0973c11

Languages: English-Great Britain (EN-GB)

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Abstract

This research is a study of handwriting Thai characters for computer use. This paper covers the creation of an online handwriting recognition system by using our proposed method. Our study shows the character sampling number is 10 significant points. The characters will be compared with a standard and personal database which contains predefined character information. Our method supports various writing and different character styles. The average recognition rates are of 87.89% in standard database and 94.93% in personal database. Our proposed method is effective for Thai handwriting character recognition. ฉ 2011 IEEE.

Keywords

Geometric modeling, Thai character recognition