Title :
An Improved Online Handwriting Thai Character Recognition
Author :
Jamjuntr, Pitchaya ; Dejdumrong, Natasha
Author_Institution :
Dept. of Comput. Eng., King Mongkut´´s Univ. of Technol., Bangkok, Thailand
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.
Keywords :
character recognition; handwriting recognition; sampling methods; character sampling; improved online handwriting Thai character recognition system; predefined character information; Character recognition; Computers; Databases; Educational institutions; Handwriting recognition; Training; Writing; Geometric Modeling; Thai Character Recognition;
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2011 Eighth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0981-4
DOI :
10.1109/CGIV.2011.39