View source for Publications:Ethiopic Character Recognition Using Direction Field Tensor

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{{PublicationSetupTemplate|Author=Yaregal Assabie, Josef Bigun
|PID=239341
|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
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=
|JournalISSN=
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|Volume=
|Issue=
|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
|StartPage=284
|EndPage=287
|Year=2006
|Edition=
|Pages=
|City=Los Alamitos, Calif.
|Publisher=IEEE Computer Society
|Series=International Conference on Pattern Recognition. Proceedings
|SeriesISSN=1051-4651
|ISBN=0-7695-2521-0
|Urls=
|ISRN=
|DOI=http://dx.doi.org/10.1109/ICPR.2006.507
|ISI=000240705600067
|PMID=
|ScopusId=2-s2.0-34147145904
|NBN=urn:nbn:se:hh:diva-2123
|LocalId=2082/2518
|ArchiveNumber=
|Keywords=character recognition;feature extraction;image segmentation;knowledge based systems;natural language interfaces;string matching;tensors
|Categories=Teknik och teknologier (2)
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|Notes=<p>©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.</p>
|Abstract=<p>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.</p>
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|CreatedDate=2008-11-11
|PublicationDate=2008-11-11
|LastUpdated=2013-02-08
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239341}}
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