Printed Thai Character Recognition using Shape Classification in Video Sequence along a Line

Authors

  • Sirikwan Chaiwatanaphan Chulalongkorn University
  • Charnchai Pluempitiwiriyawej Chulalongkorn University
  • Somkiat Wangsiripitak Chulalongkorn University

DOI:

https://doi.org/10.4186/ej.2017.21.6.37

Abstract

This paper presents a novel method for recognition of 68 printed Thai characters in image sequences captured along a line of characters, based on their shape appearance such as the height and width, the top, bottom, and right edges, the numbers and positions of the circles (head of Thai characters) and the end points.  Since each character appears in more than one frame of the image sequence that moves along the line, an algorithm to identify the arrangement of the characters in each line is necessary for accurate recognition results.  We tested our system on image sequences with four different Thai fonts. The recognition rate is about 85.64% correct.

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Author Biographies

Sirikwan Chaiwatanaphan

Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Charnchai Pluempitiwiriyawej

Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Somkiat Wangsiripitak

Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Published

Vol 21 No 6, Oct 31, 2017

How to Cite

[1]
S. Chaiwatanaphan, C. Pluempitiwiriyawej, and S. Wangsiripitak, “Printed Thai Character Recognition using Shape Classification in Video Sequence along a Line”, Eng. J., vol. 21, no. 6, pp. 37-45, Oct. 2017.