Difference between revisions of "Publications:Ethiopic Character Recognition Using Direction Field Tensor"
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| − | |Name=Assabie, Yaregal (Addis Ababa University, Department of Computer Science, Addis Ababa, Ethiopia );Bigun, Josef | + | |Name=Assabie, Yaregal (Addis Ababa University, Department of Computer Science, Addis Ababa, Ethiopia );Bigun, Josef (josef) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941)) |
|Title=Ethiopic Character Recognition Using Direction Field Tensor | |Title=Ethiopic Character Recognition Using Direction Field Tensor | ||
|PublicationType=Conference Paper | |PublicationType=Conference Paper | ||
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| Title | Ethiopic Character Recognition Using Direction Field Tensor |
|---|---|
| Author | |
| Year | 2006 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | he 18th International Conference on Pattern Recognition : proceedings : 20-24 August, 2006, Hong Kong |
| Conference | 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, 20 - 24 August, 2006 |
| DOI | http://dx.doi.org/10.1109/ICPR.2006.507 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239341 |
| Abstract | 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. |
