In 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.
Kessentini et al. REF presented a multi-stream approach for off-line handwritten word recognition.
Off-line handwritten word recognition using multi-stream hidden markov models
Pattern Recognition Letters
Computer Science