@article{(Open Science Index):https://publications.waset.org/pdf/4113,
	  title     = {A Persian OCR System using Morphological Operators},
	  author    = {M. Salmani Jelodar and  M.J. Fadaeieslam and  N. Mozayani and  M. Fazeli },
	  country	= {},
	  institution	= {},
	  abstract     = {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%.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {4},
	  year      = {2007},
	  pages     = {1137 - 1140},
	  ee        = {https://publications.waset.org/pdf/4113},
	  url   	= {https://publications.waset.org/vol/4},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 4, 2007},
	}