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The choice of relevant techniques in preprocessing, segmentation and feature extraction is very efficient and effective in rate of online handwriting recognition system. This paper presents a novel deductive method for detecting critical points of the Persian/Arabic handwritten character system in all their different shapes. The implemented method has increased the performance rate of the online Persian/Arabic...
In this paper, we propose a method for online Farsi handwritten words recognition. At first, words are broken to their sub-words. Each sub-word is made of some strokes. The sign of the sub-word is found from the positions and shapes of its sub-strokes. After that, we classify sub-words according to their signs. Some online features are extracted from the main-stroke after the preprocessing stage....
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