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Comparison of image analysis for thai handwritten character recognition

ICSES'06 - International Conference on Signals and Electronic Systems, Proceedings (2006) 223-226
DOI: 10.1007/978-0-387-44641-7_39
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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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APA

Surinta, O., & Jareapon, C. (2006). Comparison of image analysis for thai handwritten character recognition. In ICSES’06 - International Conference on Signals and Electronic Systems, Proceedings (pp. 223–226). https://doi.org/10.1007/978-0-387-44641-7_39

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