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.
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