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Eigen-based traffic sign recognition
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
2011 (English)In: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 5, no 3, 190-196 p.Article in journal (Refereed) Published
Abstract [en]

This paper’s purpose is to introduce Eigen-based traffic sign recognition. This technique is based on invoking the PCA algorithm to choose the most effective components of traffic sign images to classify an unknown traffic sign. A set of weights are computed from the most effective Eigen vectors of the traffic sign. By using the Euclidean distance, unknown traffic sign images are then classified. The approach was tested on two different databases of traffic sign’s borders and speed limit pictograms which were extracted automatically from real-world images. A classification rate of 96.8% and 97.9% was achieved for these two databases. To check the robustness of this approach, non-traffic sign objects and occluded signs were invoked. A performance of 71% was achieved when occluded signs are used. When signs were rotated 10 degrees around their centre, the performance became 89% when traffic signs’ outer shapes were used and for rotated speed limit pictograms the result was 80%.

Place, publisher, year, edition, pages
Stevenage: The Institiution of Engineering and Technology , 2011. Vol. 5, no 3, 190-196 p.
Keyword [en]
Traffic signs, recognition, Eigen-based systems
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:du-5521DOI: 10.1049/iet-its.2010.0159ISI: 000291341000006OAI: oai:dalea.du.se:5521DiVA: diva2:520361
Available from: 2011-05-03 Created: 2011-05-03 Last updated: 2016-02-12Bibliographically approved

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Fleyeh, Hasan
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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