Comparison of global and cascading recognition systems applied to multi-font arabic text
Proceedings of the 10th ACM symposium on Document engineering
Offline arabic handwritten text recognition: A Survey
ACM Computing Surveys (CSUR)
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In this paper, we propose a comparative study between the affixal approach and the analytical approach for off-line Arabic decomposable word recognition. The analytical approach is based on the modeling of alphabetical letters. The affixad approach is based on the modeling of the linguistic entity namely prefix, infix, suffix and root. The experimental results obtained by these two last approaches are presented on the basis of the printed decomposable word data set in mono-font nature by varying the character sizes. We achieve then our paper by the current improvements of our works concerning the Arabic multi-font, multi-style and multi-size word recognition.