This paper introduces an advanced Arabic handwriting recognition technique using lexicon reduction. The lexicon reduction technique stands on extracting the Arabic character shape descriptors. The technique implementation consists of two major stages. The first stage presents a method for extracting the shape descriptor of each character. The second stage suggests Aho-Corasik string searching algorithm for Arabic character recognition. Various stages have been evaluated on the IFN/ENIT database. The results demonstrate the efficiency of the suggested technique
Essa, N., El- Daydamony, E., & Atwan, A. (2018). Arabic characters descriptors for lexicon reduction in Arabic handwriting. Mansoura Journal for Computer and Information Sciences, 14(1), 9-15. doi: 10.21608/mjcis.2018.311990
MLA
Nada Essa; Eman El- Daydamony; Ahmed Atwan. "Arabic characters descriptors for lexicon reduction in Arabic handwriting". Mansoura Journal for Computer and Information Sciences, 14, 1, 2018, 9-15. doi: 10.21608/mjcis.2018.311990
HARVARD
Essa, N., El- Daydamony, E., Atwan, A. (2018). 'Arabic characters descriptors for lexicon reduction in Arabic handwriting', Mansoura Journal for Computer and Information Sciences, 14(1), pp. 9-15. doi: 10.21608/mjcis.2018.311990
VANCOUVER
Essa, N., El- Daydamony, E., Atwan, A. Arabic characters descriptors for lexicon reduction in Arabic handwriting. Mansoura Journal for Computer and Information Sciences, 2018; 14(1): 9-15. doi: 10.21608/mjcis.2018.311990
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