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- W2496153910 abstract "Handwriting recognition and OCR are two major fields of recognition and classification, one is area and other is dawn. Archaeology is that field of study where recognition and classification is needed at most to recognize ancient artefacts written in languages like Pali having various scripts such as Khmer, Sinhala, Devanagari and more. Handwritten character recognition with MOCR (Modified OCR) is shown for Pali language in this paper portraying modified OCR to recognize Brahmi script and showing comparisons in terms of accuracy with two other scripts that are Akkhara-Muni and Ariyaka. Brahmi giving an overall success rate of 85.66, 85.73 and 88.83 % respectively. MOCR has new steps in various phases which results in better accuracy than OCR." @default.
- W2496153910 created "2016-08-23" @default.
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- W2496153910 date "2016-01-01" @default.
- W2496153910 modified "2023-09-26" @default.
- W2496153910 title "Handwriting Recognition of Brahmi Script (an Artefact): Base of PALI Language" @default.
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- W2496153910 doi "https://doi.org/10.1007/978-3-319-30927-9_51" @default.
- W2496153910 hasPublicationYear "2016" @default.
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