Handwritten Thai Character Recognition Using Fourier Descriptors and Robust C- Prototype

نویسندگان

  • Olarik Surinta
  • Supot Nitsuwat
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%.

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تاریخ انتشار 2005