INDIVIDUAL CHARACTER SEGMENTATION FROM SINGLE STROKE OF BANGLA ONLINE HANDWRITTEN TEXT

A system for segmentation of online handwritten Bangla (or Bengali) cursive words into individual character in unconstrained domain is described in this paper. For segmentation of touching characters, we discovered some rules analyzing possible joining patterns of characters and modifiers of Bangla. We selected a set of 2000 Bangla words written by different groups of people such that they contain all basic characters, all vowel and consonant modifiers and almost all types of possible joining among them. We achieved correct segmentation rate of 97.67% on a dataset of 2000 words.