%0 Journal Article
	%A M. Salmani Jelodar and  M.J. Fadaeieslam and  N. Mozayani and  M. Fazeli 
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 4, 2007
	%T A Persian OCR System using Morphological Operators
	%U https://publications.waset.org/pdf/4113
	%V 4
	%X Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. In this paper we introduce a very powerful approach to recognize Persian text. We have used morphological operators, especially Hit/Miss operator to descript each sub-word and by using a template matching approach we have tried to classify generated description. We used just one font in two different sizes to verify our approach. We achieved a very good rate, up to 99.9%.

	%P 1137 - 1140