IJCATR Volume 4 Issue 1

Arabic Numerals Recognition Using Linear Correlation Algorithm in Two Dimension

Gafar Zen Alabdeen Salh Abdelmajid Hassan Mansour Abdelhafeez hamid mohammed
10.7753/IJCATR0401.1001
keywords : Optical Character Recognition; Handwriting; Image Processing; Pattern Recognition; artificial Neural Networks

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The process of handwriting recognition and text is an important field which have a large role in many applications, including the identification of manually written digits on checks and documents, also the recognition of the postal addresses using the technology of Optical Character Recognition (OCR), and etc. The aim of this paper is to using the linear correlation algorithms in two dimensions for the purpose of Arabic numerals (Indian) recognition (0-1-2-3-4-5-6-7-8-9). So as to overcome the problems of documents that stored in the form of image. And searching or editing it, In order to recognize the Arabic digits on them.
@artical{g412015ijcatr04011001,
Title = "Arabic Numerals Recognition Using Linear Correlation Algorithm in Two Dimension",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "4",
Issue ="1",
Pages ="1 - 6",
Year = "2015",
Authors ="Gafar Zen Alabdeen Salh Abdelmajid Hassan Mansour Abdelhafeez hamid mohammed"}
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