DocumentCode :
2501088
Title :
Optimization of line segmentation techniques for Thai handwritten documents
Author :
Surinta, Olarik
Author_Institution :
Dept. of Manage. Inf. Syst., Mahasarakham Univ., Mahasarakham, Thailand
fYear :
2009
fDate :
20-22 Oct. 2009
Firstpage :
180
Lastpage :
183
Abstract :
The purpose of the research is to study the optimization of line segmentation techniques for Thai handwritten documents. This research considered only single-column of Thai documents. The author proposed two new techniques including comparing Thai character and sorting and distinguishing. These two techniques were used with recognized techniques on the basis of projection profile (including horizontal projection profile and stripe) in the experiment. The outcome of this research suggested that the best technique for single-column Thai documents is the new technique for sorting and distinguishing, this technique provide the accuracy of 97.11%.
Keywords :
document image processing; handwritten character recognition; image segmentation; natural languages; sorting; Thai handwritten document; horizontal projection profile; line segmentation technique; optimization; sorting; stripe projection profile; Handwriting recognition; Image segmentation; Informatics; Management information systems; Natural language processing; Sorting; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing, 2009. SNLP '09. Eighth International Symposium on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-4138-9
Electronic_ISBN :
978-1-4244-4139-6
Type :
conf
DOI :
10.1109/SNLP.2009.5340921
Filename :
5340921
Link To Document :
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