A refinement of stroke structure for printed Thai character recognition

• Main Authors: Supachai Tangwongsan, Orawan Jungthanawong
• Other Authors: Mahidol University
• Format: Conference or Workshop Item
• Published: 2018
• Subjects: Computer Science
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/19108

In this paper, it presents a very efficient recognition system for printed Thai characters. The major techniques are using structural features of stroke and setting production rules for classification. For the former, a technique is employed to re-order the character image components derived from skeleton of character image as based on Thai scripts and glyphs. In the latter, a set of production rules is established with a stroke patterns for character clustering and further for character classification. In this work, 12 clusters for Thai consonants, digits and special characters are grouped together, including 8 clusters for Thai vowel signs and tone marks. The proposed system is tested with over 1,000,000 Thai characters of multi-fonts and multi-sizes, the result shows that it could yield a very high accuracy rate in those tests of recognition. © 2008 IEEE.