Impact of Character Models Choice on Arabic Text Recognition Performance

  title={Impact of Character Models Choice on Arabic Text Recognition Performance},
  author={Fouad Slimane and Rolf Ingold and Slim Kanoun and Adel M. Alimi and Jean Hennebert},
  journal={2010 12th International Conference on Frontiers in Handwriting Recognition},
We analyze in this paper the impact of sub-models choice for automatic Arabic printed text recognition based on Hidden Markov Models (HMM). In our approach, sub-models correspond to characters shapes assembled to compose words models. One of the peculiarities of Arabic writing is to present various character shapes according to their position in the word. With 28 basic characters, there are over 120 different shapes. Ideally, there should be one sub model for each different shape. However, some… CONTINUE READING
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Database and evaluation protocols for Arabic printed text recognition

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