M. Salmani Jelodar and M.J. Fadaeieslam and N. Mozayani and M. Fazeli
A Persian OCR System using Morphological Operators
1137 - 1140
2007
1
4
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/4113
https://publications.waset.org/vol/4
World Academy of Science, Engineering and Technology
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 HitMiss operator to descript each subword 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.
Open Science Index 4, 2007