Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB

In this paper, we propose a road sign detection and recognition algorithm for an embedded application. The algorithm is based on the Hough transform method to detect lines in order to identify and determine the shape of the road sign. Shape measurements are currently employed to identify the road...

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Main Authors: Md Sallah, Siti Sarah, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki
Format: Conference or Workshop Item
Published: 2010
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Online Access:http://eprints.utp.edu.my/2091/1/1569283779.pdf
http://eprints.utp.edu.my/2091/
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Institution: Universiti Teknologi Petronas
id my.utp.eprints.2091
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spelling my.utp.eprints.20912017-01-19T08:24:02Z Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB Md Sallah, Siti Sarah Hussin, Fawnizu Azmadi Yusoff, Mohd Zuki QA75 Electronic computers. Computer science In this paper, we propose a road sign detection and recognition algorithm for an embedded application. The algorithm is based on the Hough transform method to detect lines in order to identify and determine the shape of the road sign. Shape measurements are currently employed to identify the road sign ratios of area and perimeter. The variables are compared with the template library which we have developed. In order to evaluate the accuracy, the proposed algorithm was tested on most of the Malaysian road signs, and the results are reported in this paper. Successful detection and recognition rate is about 83.67%. 2010-06-15 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/2091/1/1569283779.pdf Md Sallah, Siti Sarah and Hussin, Fawnizu Azmadi and Yusoff, Mohd Zuki (2010) Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB. In: International Conference on Intelligent and Advanced Systems (ICIAS 2010), 15-17 June, 2010, Kuala Lumpur, Malaysia. (In Press) http://eprints.utp.edu.my/2091/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Md Sallah, Siti Sarah
Hussin, Fawnizu Azmadi
Yusoff, Mohd Zuki
Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB
description In this paper, we propose a road sign detection and recognition algorithm for an embedded application. The algorithm is based on the Hough transform method to detect lines in order to identify and determine the shape of the road sign. Shape measurements are currently employed to identify the road sign ratios of area and perimeter. The variables are compared with the template library which we have developed. In order to evaluate the accuracy, the proposed algorithm was tested on most of the Malaysian road signs, and the results are reported in this paper. Successful detection and recognition rate is about 83.67%.
format Conference or Workshop Item
author Md Sallah, Siti Sarah
Hussin, Fawnizu Azmadi
Yusoff, Mohd Zuki
author_facet Md Sallah, Siti Sarah
Hussin, Fawnizu Azmadi
Yusoff, Mohd Zuki
author_sort Md Sallah, Siti Sarah
title Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB
title_short Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB
title_full Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB
title_fullStr Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB
title_full_unstemmed Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB
title_sort shape-based road sign detection and recognition for embedded application using matlab
publishDate 2010
url http://eprints.utp.edu.my/2091/1/1569283779.pdf
http://eprints.utp.edu.my/2091/
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