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
Link To Document :
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