View source for Publications:Structural and Syntactic Techniques for Recognition of Ethiopic Characters

<div style='display: none'>
== Do not edit this section ==
</div>
{{PublicationSetupTemplate|Author=Yaregal Assabie, Josef Bigun
|PID=239384
|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=Structural and Syntactic Techniques for Recognition of Ethiopic Characters
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=
|JournalISSN=
|Status=
|Volume=
|Issue=
|HostPublication=Structural, syntactic, and statistical pattern recognition joint IAPR international workshops SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006 : proceedings : Lecture Notes in Computer Sciences (Volume 4109/2006)
|Conference=Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006
|StartPage=118
|EndPage=126
|Year=2006
|Edition=
|Pages=
|City=Berlin
|Publisher=Springer Berlin/Heidelberg
|Series=Lecture Notes in Computer Science ; 4109
|SeriesISSN=0302-9743
|ISBN=978-3-540-37236-3
|Urls=
|ISRN=
|DOI=http://dx.doi.org/10.1007/11815921
|ISI=000240075100012
|PMID=
|ScopusId=2-s2.0-33749587617
|NBN=urn:nbn:se:hh:diva-2166
|LocalId=2082/2563
|ArchiveNumber=
|Keywords=Pattern recognition;Image analysis;OCR
|Categories=Teknik och teknologier (2)
|ResearchSubjects=
|Projects=
|Notes=
|Abstract=<p>OCR technology of Latin scripts is well advanced in comparison to other scripts. However, the available results from Latin are not always sufficient to directly adopt them for other scripts such as the Ethiopic script. In this paper, we propose a novel approach that uses structural and syntactic techniques for recognition of Ethiopic characters. We reveal that primitive structures and their spatial relationships form a unique set of patterns for each character. The relationships of primitives are represented by a special tree structure, which is also used to generate a pattern. A knowledge base of the alphabet that stores possibly occurring patterns for each character is built. Recognition is then achieved by matching the generated pattern against each pattern in the knowledge base. Structural features are extracted using direction field tensor. Experimental results are reported, and the recognition system is insensitive to variations on font types, sizes and styles.</p>
|Opponents=
|Supervisors=
|Examiners=
|Patent=
|ThesisLevel=
|Credits=
|Programme=
|Subject=
|Uppsok=
|DefencePlace=
|DefenceLanguage=
|DefenceDate=
|CreatedDate=2008-11-27
|PublicationDate=2008-11-27
|LastUpdated=2013-02-08
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239384}}
<div style='display: none'>

== Keep all hand-made modifications below ==
</div>{{PublicationDisplayTemplate}}