3. The method according to claim 1 , further including the procedure of developing a respective probabilistic model for each letter-shape, based on a series of received predetermined words.
3. The method according to claim 1 , further including the procedure of developing a respective probabilistic model for each letter-shape, based on a series of received predetermined words. 4. The method according to claim 3 , wherein said procedure of developing a respective probabilistic model for each letter-shape includes the sub-procedures of: receiving online a series of predetermined handwritten Arabic words from at least one trainer; identifying letter-shapes in said received words; generating a plurality of Hidden Markov Models (HMMs), each of said HMMs representing a letter-shape; and establishing word-part networks that include word-parts of said at least one word-part dictionary, and associating said HMMs therewith.