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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2091/ http://scholars.utp.edu.my/id/eprint/2091/1/1569283779.pdf |
| _version_ | 1848659202248015872 |
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| 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 |
| building | UTP Institutional Repository |
| collection | Online Access |
| 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%. |
| first_indexed | 2025-11-13T07:26:40Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:2091 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:26:40Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:20912017-01-19T08:24:02Z http://scholars.utp.edu.my/id/eprint/2091/ 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 en http://scholars.utp.edu.my/id/eprint/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) |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/2091/ http://scholars.utp.edu.my/id/eprint/2091/1/1569283779.pdf |