Geometrical Features Based Approach for the Classification and Recognition of Handwritten Characters

The recognition of handwritten characters is a vital research area in the domain of text segmentation. Various approaches have evolved in the past and intensive research is still being carried out, at present. In this paper, we have presented a geometrical feature based approach to recognize handwritten characters. The strength of our approach is in the comprehensive classification scheme due to which, we have been able to achieve a recognition rate of 95.8%, better than the previous approaches.