Publication: Using contour analysis to improve feature extraction in Thai handwritten character recognition systems
Issued Date
2007-12-01
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2-s2.0-38049052226
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Mahidol University
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SCOPUS
Bibliographic Citation
CIT 2007: 7th IEEE International Conference on Computer and Information Technology. (2007), 668-673
Suggested Citation
Jarernsri L. Mitrpanont, Urairat Limkonglap Using contour analysis to improve feature extraction in Thai handwritten character recognition systems. CIT 2007: 7th IEEE International Conference on Computer and Information Technology. (2007), 668-673. doi:10.1109/CIT.2007.4385161 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/24381
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Title
Using contour analysis to improve feature extraction in Thai handwritten character recognition systems
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Abstract
This research proposes an approach to the analysis of contour characteristics for the feature extraction process of an off-line Thai handwritten character recognition system (THW-CR). The system aims at increasing the accuracy of both feature extraction rate and character recognition rate. We introduce the contour to capture the movement of features. The propose modules are the feature representation and the feature conflict resolution rules. With our proposed approach, the experiment shows the results increase reasonably. The maximum Feature Extraction Rate (FER) reached 97.73% Meanwhile, the highest Character Recognition Rate (CRR) reached 95.35% Additionally, the result of the overall evaluation showed that the THW-CR system generated reliable results for improving the accuracy of the feature extraction rate and the character recognition rate compared with the previous research by 3.62% and 8.33%, respectively. © 2007 IEEE.