Handwriting recognition systems have emerged and evolved significantly, especially in English language, but for the Arabic language, such systems did not find that sufficient attention in comparison to other languages .Therefore, the aim of this paper to highlight the Optical Character Recognition using linear correlation algorithm in two dimensions and then the programs can to identify discrete Arabic letters application started manually, the program has been successfully applied.
@artical{
4122015ijcatr04121009,
Title = "Isolated Arabic Handwritten Character Recognition Using Linear Correlation",
Journal ="International Journal of Computer Applications Technology and Research (IJCATR)",
Volume = "4",
Issue ="12",
Pages ="928 - 932",
Year = "2015",
Authors ="
Abd Elhafeez Hamid
Mariam M. Musa
Mona M. Osman
Moahib M. Alamien
"}
10.7753/IJCATR0412.1009
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