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Speed Sign Recognition using Shape-based Features

by Jafar Abukhait, Imad Zyout, Ayman M.mansour
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 15
Year of Publication: 2013
Authors: Jafar Abukhait, Imad Zyout, Ayman M.mansour
10.5120/14655-2964

Jafar Abukhait, Imad Zyout, Ayman M.mansour . Speed Sign Recognition using Shape-based Features. International Journal of Computer Applications. 84, 15 ( December 2013), 31-37. DOI=10.5120/14655-2964

@article{ 10.5120/14655-2964,
author = { Jafar Abukhait, Imad Zyout, Ayman M.mansour },
title = { Speed Sign Recognition using Shape-based Features },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 15 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 31-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number15/14655-2964/ },
doi = { 10.5120/14655-2964 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:00.858227+05:30
%A Jafar Abukhait
%A Imad Zyout
%A Ayman M.mansour
%T Speed Sign Recognition using Shape-based Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 15
%P 31-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An efficient shape-based recognition system of U. S. speed limit road signs is presented in this paper. The proposed system accomplishes speed sign detection and recognition processes using three main stages, namely, geometrical-based detection of rectangular road signs, shape-based segmentation and feature extraction, and pattern classification using a K-nearest neighbor classifier (KNN). Twenty shape descriptors are computed for the most discriminative numerals of each detected sign. The proposed system is invariant to scale, rotation, and partial occlusion. The proposed system has been tested in different conditions, including sunny, cloudy, and rainy weather, and the experimental results on 195 speed signs reveals the efficiency of the proposed shape pattern segmentation and feature extraction methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Speed Sign Recognition Morphology-based Features Feature Extraction Classification.