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Reconstruction of Oriya Alphabets Using Zernike Moments

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Author(s): Jyotsnarani Tripathy

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 8;
Issue: 8;
Start page: 26;
Date: 2010;
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Keywords: Orthogonal function | Polynomial | feature extraction | Image reconstruction | Invariant moment | Optical character recognition

ABSTRACT
There has been a significant amount of research in pattern recognition in different aspects of printed character based user interfaces including interactive design tools, ink beautification and printed character recognition. Optical Character recognition (OCR) systems have been effectively developed for the recognition of printed characters of non-Indian languages. Efforts are on the way for the development of efficient OCR system for Indian language especially for ORIYA. I present in this paper the reconstruction of the basic characters (vowels and consonants) in Oriya text, which can handle different font sizes and font types. Hu’s seven moments and Zernike moments have been progressively used to extract the features of ORIYA characters. When I reconstruct by taking the extracted features, due to certain difficulties in the Hu’s moments I can use the Zernike moments. The methodology can be extended for recognition of the ORIYA conjuncts too.
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