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A neural network approach for multifont and size-independent recognition of ethiopic characters
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2007 (English)In: Progress in pattern recognition / [ed] Singh, S, Singh, M, Springer London, 2007, p. 129-137Conference paper, Published paper (Refereed)
Abstract [en]

Artificial neural networks are one of the most commonly used tools for character recognition problems, and usually they take gray values of 2D character images as inputs. In this paper, we propose a novel neural network classifier whose input is ID string patterns generated from the spatial relationships of primitive structures of Ethiopiccharacters. The spatial relationships of primitives are modeled by a special tree structure from which a unique set of string patterns are generated for each character. Training theneural network with string patterns of different font types and styles enables the classifier to handle variations in font types, sizes, and styles. We use a pair of directional filters forextracting primitives and their spatial relationships. The robustness of the proposed recognition system is tested by real life documents and experimental results are reported.

Place, publisher, year, edition, pages
Springer London, 2007. p. 129-137
Series
Advances in Pattern Recognition, ISSN 1617-7916
Keywords [en]
Image analysis, Ethiopic characters, Pattern recognition
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-2159DOI: 10.1007/978-1-84628-945-3_13ISI: 000250406000013Local ID: 2082/2554ISBN: 978-1-84628-944-6 OAI: oai:DiVA.org:hh-2159DiVA, id: diva2:239377
Conference
International Workshop on Advances in Pattern Recognition (IWAPR), Loughborough Univ, Loughborough, England, 2007
Available from: 2008-11-24 Created: 2008-11-24 Last updated: 2018-03-23Bibliographically approved

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Assabie, YaregalBigun, Josef

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CiteExportLink to record
Permanent link

Direct link
Cite
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