New algorithm for skewing detection of handwritten bangla words

Abstract

Segmentation of a word into basic characters or strokes is an essential and necessary preprocessing step for character recognition in many handwritten word recognition systems, especially in case of handwritten bangla words. The major difficulty in character segmentation is the cursive script. This is because different person have different styles for their handwriting. Here, in this article a novel approach for skew detection followed by skew correction has been presented for online handwritten Bangla words. Here, we have used a slight variation of the projection profile method to calculate the amount of skew in an online Bangla handwritten word. The algorithm has been verified on a database of words collected from different people. © 2011 Springer-Verlag.