Shape descriptors-based generalised scheme for handwritten character recognition
Tusar Kanti Mishra, Banshidhar Majhi, Ratnakar Dash · International Journal of Computational Vision and Robotics · 2015
In this paper, we propose a novel scheme for recognition of handwritten numerals for a regional language Odia of the Indian continent. Additional attempts have also been made to implement this scheme for recognition of handwritten numerals of two other languages namely, Bangla and English. Thus, the proposed scheme has been generalised to three different languages. Three variants of time series description of global shapes of numerals have been wrapped up in a vector. This vector is treated as the primary features for the suggested scheme. Satisfactory overall accuracy rate of 96.25% is achieved for Odia numerals. Promising results are also obtained for recognising English and Bangla numerals.