Abstract
This paper is proposing the method for Thai handwritten character recognition. The methods are Robust C-Prototype and Back-Propagation Neural Network. The objective of experimental is recognition on Thai handwritten character. This is the result of both methods to be appearing accuracy more than 85%.
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© 2006 International Federation for Information Processing
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Surinta, O., Jareanpon, C. (2006). Comparison of Image Analysis for Thai Handwritten Character Recognition. In: Shi, Z., Shimohara, K., Feng, D. (eds) Intelligent Information Processing III. IIP 2006. IFIP International Federation for Information Processing, vol 228. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-44641-7_39
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DOI: https://doi.org/10.1007/978-0-387-44641-7_39
Publisher Name: Springer, Boston, MA
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