The complexity of the recognition process is strongly related to language, the type of writing and the vocabulary size. Our work represents a contribution to a system of recognition of large canonical Arabic vocabulary of decomposable words derived from tri-consonantal roots. This system is based on a collaboration of three morphological classifiers specialized in the recognition of roots, schemes and conjugations. Our work deals with the first classifier. It is about proposing a root classifier based on 101 Hidden Markov Models, used to classify 101 tri-consonantal roots. The models have the same architecture endowed with Arabic linguistic knowledge. The proposed system deals, up to now, with a vocabulary of 5757 words. It has been learned then tested using a total of more than 17000 samples of printed words. Obtained results are satisfying and the top2 recognition rate reached 96%.

No abstract

No abstract