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Stroke Correction in Interactive Arabic Handwriting Learning System

In this research, we present a method for locating and correcting broken strokes in Arabic handwritten words. The method is applied in an interactive Arabic online handwriting learning system. In such a system, a word written by a learner is matched with the model word having the same characters or shapes. The learner is given feedback on his writing by locating writing errors in the word he wrote. Locating errors in handwritten strokes is itself a challenging task, as broken and/or touching characters may appear. In this paper, we present our progress in this field to identify the broken strokes in Arabic online handwritten words based on n-gram models of stroke descriptors.