@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}, }