Abstract
In this paper, a bi-lingual optical character recognition (OCR) for printed documents containing English and Devnagari based text is presented. The proposed OCR uses statistical based features namely, Zoning and Projection profiles for discriminating the characters. The classification is done with KNN classifier. The key contribution of the paper is to perform script identification along with font recognition which is further followed by respective character recognition. The proposed system provides satisfactory results
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