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

Abstract

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 characterimage is used to perform recognition step. In this way the
experimental results of recognition, RCP can perform with accuracy up to 91.5%.