Recognition of ancient Kannada Epigraphs using fuzzy-based approach

Soumya, A. and Hemantha Kumar, G. (2014) Recognition of ancient Kannada Epigraphs using fuzzy-based approach. In: Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014.

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Optical Character Recognition finds application in the field of Epigraphy, which is the study of inscriptions. Epigraphers who read ancient inscriptions are nowadays less in number and almost becoming extinct. There is a lot of scope for digitization of these historical records and automated decipherment of the same. An attempt is made for the recognition of text in ancient Kannada script of two different periods Ashoka and Hoysala. A reconstructed epigraph image is taken as input, then characters are segmented using Nearest Neighbor clustering algorithm. Next Statistical features such as Mean, Variance, Standard Deviation, Kurtosis, Skewness, Homogeneity, Contrast, Correlation, Energy, and Coarseness are extracted, and stored as training data set and for comparison at the later stage of testing. Mamdani Fuzzy Classifier is used in classification of characters. Finally the classified characters of ancient times are displayed in modern Kannada form. Proposed system successfully recognizes ancient text and maps into equivalent modern character and observed that the recognition rate for Brahmi script is appreciable when compared to Hoysala script.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Character recognition, Optical character recognition, Clustering algorithms, Fuzzy systems, Statistical features, Statistical tests, Kannada scripts, Epigraphs, Fuzzy classifiers, Fuzzy sets, Higher order statistics, Nearest neighbor clustering, Optical character recognition (OCR), Statistical methods
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: Arshiya Kousar
Date Deposited: 28 Aug 2019 05:54
Last Modified: 28 Aug 2019 05:54

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