Multifont size-resilient recognition system for Ethiopic script |
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Authors: | Yaregal Assabie Josef Bigun |
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Affiliation: | (1) School of Information Science, Computer and Electrical Engineering, Halmstad University, 301 18 Halmstad, Sweden |
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Abstract: | This paper presents a novel framework for recognition of Ethiopic characters using structural and syntactic techniques. Graphically complex characters are represented by the spatial relationships of less complex primitives which form a unique set of patterns for each character. The spatial relationship is represented by a special tree structure which is also used to generate string patterns of primitives. Recognition is then achieved by matching the generated string pattern against each pattern in the alphabet knowledge-base built for this purpose. The recognition system tolerates variations on the parameters of characters like font type, size and style. Direction field tensor is used as a tool to extract structural features. |
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Keywords: | Optical character recognition Ethiopic Multifont Structural and syntactic techniques Direction field tensor |
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