Handwritten Thai Character Recognition Using Fourier Descriptors and Robust C- Prototype
نویسندگان
چکیده
This research paper proposes the statistical-based method for Thai handwritten character recognition using Fourier descriptors and robust C-Prototype clustering. Recognition scheme is based on features extracted from Fourier transform of the edge of character-image. Therefore, the character-image is described by a group of descriptors. We train the system using the RCP training scheme to find the centroid of the prototype (44 Prototypes) and membership function. Finally, the FD of unknown character-image is used to perform recognition step. In this way the experimental results of recognition, RCP can perform with accuracy up to 91.5%.
منابع مشابه
Comparison of Image Analysis for Thai Handwritten Character Recognition
This paper is proposing tlie method for Thai handwritten character recognition. The methods are Robust C-Prototype and Bacl-c-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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