View source for Publications:Writer-independent Offline Recognition of Handwritten Ethiopic Characters

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{{PublicationSetupTemplate|Author=Yaregal Assabie, Josef Bigun
|PID=408384
|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))
|Title=Writer-independent Offline Recognition of Handwritten Ethiopic Characters
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=
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|HostPublication=Proceedings : Eleventh International Conference on Frontiers in Handwriting Recognition, Montréal, Québec - Canada, August 19-21, 2008
|Conference=Eleventh International Conference on Frontiers in Handwriting Recognition (ICFHR2008), August 19-21, Montreal, Quebec, Canada
|StartPage=652
|EndPage=657
|Year=2008
|Edition=
|Pages=
|City=Montréal
|Publisher=CENPARMI, Concordia University
|Series=
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|ISBN=1895193036;9781895193039
|Urls=http://www.cenparmi.concordia.ca/ICFHR2008/Proceedings/papers/cr1160.pdf
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|NBN=urn:nbn:se:hh:diva-14934
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|Keywords=Ethiopic;Handwriting Recognition;Database
|Categories=Teknik och teknologier (2)
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|Abstract=<p>This paper presents writer-independent offline handwritten character recognition for Ethiopic script. The recognition is based on the characteristics of primitive strokes that make up characters. The spatial relationships of primitives whose combinations form complex structures of Ethiopic characters are used as a basis for recognition. Although this approach efficiently recognizes properly written characters, the recognition rate drops for characters where the spatial relationships of their primitives could not be drawn. This happens mostly when the connections between primitives are not properly written, which is a common case in handwriting. To complement the recognition, we classify characters based on the characteristics of their primitives, resulting in grouping of characters in a five-dimensional space. Once the type of characters is identified, recognition can be achieved with a minimal set of information from their spatial relationships. A comprehensive database is also developed to standardize the evaluation of research works on offline Ethiopic handwriting recognition systems. Our proposed system is tested is with the database and experimental results are reported.</p>
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|CreatedDate=2011-04-04
|PublicationDate=2011-04-04
|LastUpdated=2012-10-11
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408384}}
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