In the present article, we describe a novel direction code based feature extraction approach for recognition of online Bangla handwritten basic characters. We have implemented the proposed approach on a database of 7043 online handwritten Bangla (a major script of the Indian subcontinent) character samples, which has been developed by us. This is a 50-class recognition problem and we achieved 93.90% and 83.61% recognition accuracies respectively on its training and test sets.
Citation:
U. Bhattacharya, B.K. Gupta, S. Parui, "Direction Code Based Features for Recognition of Online Handwritten Characters of Bangla," icdar, vol. 1, pp.58-62, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007