A Persian OCR System using Morphological Operators

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%.

• M. Salmani Jelodar
• M.J. Fadaeieslam
• N. Mozayani
• M. Fazeli

• A Persian Optical Character Recognition.

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