Segmentation of Online Handwritten Word by Estimating the Busy Zone of the Image

To take care of variability involved in the writing style of different individuals a novel approach has been proposed in this article to segment unconstrained handwritten Bangla words into characters. Online handwriting recognition refers to the problem of interpretation of handwriting input captured as a stream of pen positions using a digitizer or other pen position sensor. For online recognition of word the proper segmentation of word into basic strokes is very much important. For word segmentation, at first the busy zone of the whole word is calculated and then an estimated headline is imagined just above the starting point of the busy zone. Remove all the pixels crossing the estimated headline by checking their distance. Finally the segmentation is done. The system has been tested on 5500 Bangla word data and obtained around 94.9% of correct segmentation on word data from the proposed system.