Simultaneous segmentation and recognition of Arabic printed text using linguistic concepts of vocabulary

Mohamed Ben Halima; Adel M. Alimi

doi:10.1117/12.805617

19 January 2009 Simultaneous segmentation and recognition of Arabic printed text using linguistic concepts of vocabulary

Mohamed Ben Halima, Adel M. Alimi

Author Affiliations +

Proceedings Volume 7247, Document Recognition and Retrieval XVI; 72470T (2009) https://doi.org/10.1117/12.805617
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

In this paper, we propose a new approach to Arabic printed text analysis and recognition. This approach is based on linguistic concepts of Arabic vocabulary. For the text, we allow to categorize the words in decomposable words (derived from a root) and indecomposable words (not derived from a root) and to put forth morpho-syntactic characterization hypotheses for each word. For the decomposable words, we attempt to recognize word basic morphemes: antefix, prefix, infix, suffix, postfix and root contrary to existing approaches which are usually based on recognition of word entity by holistic approach.

Citation Download Citation

Mohamed Ben Halima and Adel M. Alimi "Simultaneous segmentation and recognition of Arabic printed text using linguistic concepts of vocabulary", Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470T (19 January 2009); https://doi.org/10.1117/12.805617

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