Decision fusion of horizontal and vertical trajectories for recognition of online Farsi subwords
Engineering Applications of Artificial Intelligence
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The purpose of this research is to improve the recognition rate of on-line Arabic handwriting recognition using HMM (Hidden Markov Model). Delayed strokes are removed from the on-line Arabic word to avoid the difficulty and the confusion caused by the delayed strokes in the recognition process. Dictionaries for all the words in the ADAB database have been constructed with and without the delayed strokes. Word matching in both dictionaries along with effective on-line features and careful choice of the HMM parameters have significantly improved the recognition rate of the proposed system over other HMM-based on-line Arabic handwriting recognition systems.