DocumentCode
2551492
Title
Shape-based road sign detection and recognition for embedded application using MATLAB
Author
Sallah, Siti Sarah Md ; Hussin, Fawnizu Azmadi ; Yusoff, Mohd Zuki
Author_Institution
Electr. & Electron. Eng. Dept., Univ. Teknol. Petronas, Tronoh, Malaysia
fYear
2010
fDate
15-17 June 2010
Firstpage
1
Lastpage
5
Abstract
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%.
Keywords
Hough transforms; mathematics computing; object detection; shape recognition; Hough transform; Matlab; embedded application; shape-based road sign detection; shape-based road sign recognition; Image color analysis; Image recognition; MATLAB; Roads; Shape; Transforms; Hough Transform; Road Sign; Shape Measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent and Advanced Systems (ICIAS), 2010 International Conference on
Conference_Location
Kuala Lumpur, Malaysia
Print_ISBN
978-1-4244-6623-8
Type
conf
DOI
10.1109/ICIAS.2010.5716193
Filename
5716193
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