Rearrangement of Recognized Strokes in Online Handwritten Gurmukhi Words Recognition

Abstract

This paper presents a system to recognize online handwritten Gurmukhi words. We have proposed a new step as rearrangement of recognized strokes in online handwriting recognition procedure. The rearrangement of recognized strokes includes: strokes identification as dependent and major dependent strokes; the rearrangement of strokes with respect to their positions; the combination of strokes to recognize character. We have achieved an overall recognition rate as 81.02% in online handwritten cursive handwriting for a set of 2576 Gurmukhi dictionary words.