Word & Character Segmentation for Bangla Handwriting Analysis & Recognition

Segmentation of unconstrained handwritten word into different zones (upper middle and lower) and characters is more difficult than that of printed documents. This is mainly because of variability in inter-character distance, skew, slant, size and curved like handwriting. Sometimes components of two consecutive characters may be touched or overlapped and this situation complicates the segmentation task greatly. In Indian languages such touching or overlapping occurs frequently because of modified characters of upper-zone and lower-zone. In this paper we propose a simple method to segment unconstrained handwritten Bangla word. We achieved 81.41% success rate in the proposed system.