Open this publication in new window or tab >>2006 (English)In: The 18th International Conference on Pattern Recognition: proceedings : 20-24 August, 2006, Hong Kong, Los Alamitos, Calif.: IEEE Computer Society, 2006, p. 284-287Conference paper, Published paper (Refereed)
Abstract [en]
Many languages in Ethiopia use a unique alphabet called Ethiopic for writing. However, there is no OCR system developed to date. In an effort to develop automatic recognition of Ethiopic script, a novel system is designed by applying structural and syntactic techniques. The recognition system is developed by extracting primitive structural features and their spatial relationships. A special tree structure is used to represent the spatial relationship of primitive structures. For each character, a unique string pattern is generated from the tree and recognition is achieved by matching the string against a stored knowledge base of the alphabet. To implement the recognition system, we use direction field tensor as a tool for character segmentation, and extraction of structural features and their spatial relationships. Experimental results are reported.
Place, publisher, year, edition, pages
Los Alamitos, Calif.: IEEE Computer Society, 2006
Series
International Conference on Pattern Recognition. Proceedings, ISSN 1051-4651
Keywords
character recognition, feature extraction, image segmentation, knowledge based systems, natural language interfaces, string matching, tensors
National Category
Physical Sciences Clinical Medicine
Identifiers
urn:nbn:se:hh:diva-2123 (URN)10.1109/ICPR.2006.507 (DOI)000240705600067 ()2-s2.0-34147145904 (Scopus ID)2082/2518 (Local ID)0-7695-2521-0 (ISBN)2082/2518 (Archive number)2082/2518 (OAI)
Conference
18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, 20 - 24 August, 2006
Note
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2008-11-112008-11-112022-09-13Bibliographically approved