Publication: Thai handwritten character recognition using heuristic rules hybrid with neural network
Issued Date
2011-07-21
Resource Type
Other identifier(s)
2-s2.0-79960395656
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011. (2011), 160-165
Suggested Citation
Jarernsri L. Mitrpanont, Yingyot Imprasert Thai handwritten character recognition using heuristic rules hybrid with neural network. Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011. (2011), 160-165. doi:10.1109/JCSSE.2011.5930113 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/11781
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Thai handwritten character recognition using heuristic rules hybrid with neural network
Author(s)
Other Contributor(s)
Abstract
This research enhanced two major processes of the previous work of the off-line Thai handwritten character recognition using hybrid techniques of heuristic rules and neural network system. The proposed functions are mainly in 1) Feature extraction enhancement to improve the feature conflict resolution rule and the specialized neural network-based zigzag feature extraction. These functions are used to refine the conflict features and zigzag patterns; 2) Neural network-based recognition. Specifically, a neural network technique improves the capabilities of the recognition process to handle various styles of writing. The result showed that the additional feature conflict resolution rule could achieve the feature extraction rate of 87.85% (increased 2.13%), the feature extraction rate of the specialized neural network-based zigzag extraction could achieve 90.48% (increased 47.9%) and the recognition rate of the neural network-based recognition which combine both of the two proposed feature extraction functions could achieve 92.78% (increased 9.77%). © 2011 IEEE.