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To cite this version:Yousri Kessentini, Thierry Paquet, Abdelmajid Benhamadou. Off-line handwritten word recognition using multi-stream hidden Markov models. Pattern Recognition Letters, Elsevier, 2010, 31 (1) AbstractIn this paper, we present a multi-stream approach for off-line handwritten word recognition. Using 2-stream approach, the best recognition performance is 79.8%, in the case of the Arabic script, on a 2100-word lexicon consisting of 946 Tunisian town/village names. In the case of the Latin script, the proposed approach achieves a recognition rate of 89.8 % using a lexicon of 196 words.2 KeywordsOff-Line handwriting recognition, Hidden Markov Models, Latin script, Arabic script, multistream, information combination.

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International audienc

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