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A Persian OCR System using Morphological Operators

By M. Salmani Jelodar, M. J. Fadaeieslam, N. Mozayani and M. Fazeli

Abstract

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%. T Keywords—APersian Optical Character Recognition

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.4280
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