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Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 5 Issue 12 ijcatr05121005

IJCATR Volume 5 Issue 12

Preprocessing Phase for Offline Arabic Handwritten Character Recognition

Rawia I. O. Ahmed ,Mohamed E. M. Musa
10.7753/IJCATR0512.1005
keywords : optical character recognition; offline recognition; online recognition; handwritten, preprocessing.

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In this paper we reviewed the importance issues of the optical character recognition, gives more emphases for OCR and its phases. We discuss the main characteristics of Arabic language, furthermore it focused on the pre-processing phase of the character recognition system. We described and implemented the algorithms of binarization, dots removing and thinning which will be used for feature extraction phase. The algorithms are tested using 47,988 isolated character sample taken from SUST/ ALT dataset and achieved better results. The pre-processing phase developed by using MATLAB software.
@artical{r5122016ijcatr05121005,
Title = "Preprocessing Phase for Offline Arabic Handwritten Character Recognition",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="12",
Pages ="760 - 763",
Year = "2016",
Authors ="Rawia I. O. Ahmed ,Mohamed E. M. Musa"}
  • The paper discusses the concepts of OCR approaches.
  • Main characteristics of Arabic language and phases involved in OCR system are discuss.
  • A performance evaluation of preprocessing algorithms is carried out.
  • References are addressed in this paper.
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