Title :
Printed Thai character recognition using the hierarchical cross-correlation ARTMAP
Author :
Thammano, Arit ; Duangphasuk, Pruegsa
Author_Institution :
Fac. of Inf. Technol., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok
Abstract :
Traditionally, Thai characters are composed of circle, zigzag line, curve, and head. However, many new Thai fonts, which are now gaining in popularity, do not follow the traditional writing rule; the head has been omitted from the characters. Without the head, it is very difficult to segregate the characters. Even the best commercial Thai OCR software has difficulty in recognizing this kind of character. Therefore, the hierarchical cross-correlation ARTMAP is proposed in this paper to recognize the no-head Thai characters
Keywords :
character recognition; correlation methods; natural languages; hierarchical cross-correlation ARTMAP; printed Thai character recognition; Character recognition; Feature extraction; Feedforward neural networks; Head; Image segmentation; Information technology; Natural languages; Neural networks; Optical character recognition software; Writing;
Conference_Titel :
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2488-5
DOI :
10.1109/ICTAI.2005.100