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Multifont size-resilient recognition system for Ethiopic script
Addis Ababa University, Department of Computer Science, Addis Ababa, Ethiopia .
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0002-4929-1262
2007 (English)In: International Journal on Document Analysis and Recognition, ISSN 1433-2833, E-ISSN 1433-2825, Vol. 10, no 2, p. 85-100Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel framework for recognition of Ethiopic characters using structural and syntactic techniques. Graphically complex characters are represented by the spatial relationships of less complex primitives which form a unique set of patterns for each character. The spatial relationship is represented by a special tree structure which is also used to generate string patterns of primitives. Recognition is then achieved by matching the generated string pattern against each pattern in the alphabet knowledge-base built for this purpose. The recognition system tolerates variations on the parameters of characters like font type, size and style. Direction field tensor is used as a tool to extract structural features.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2007. Vol. 10, no 2, p. 85-100
Keywords [en]
Direction field tensor, Ethiopic, Multifont, Optical character recognition, Structural and syntactic techniques
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-1360DOI: 10.1007/s10032-007-0048-yISI: 000251379500004Scopus ID: 2-s2.0-36349008568Local ID: 2082/1739OAI: oai:DiVA.org:hh-1360DiVA, id: diva2:238578
Available from: 2008-04-25 Created: 2008-04-25 Last updated: 2018-03-23Bibliographically approved

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Assabie, YaregalBigun, Josef

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf