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Real-Time Traffic Sign Recognition System based on Colour Image Segmentation

by Vishal R. Deshmukh, G. K. Patnaik, M. E. Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 3
Year of Publication: 2013
Authors: Vishal R. Deshmukh, G. K. Patnaik, M. E. Patil
10.5120/14430-2575

Vishal R. Deshmukh, G. K. Patnaik, M. E. Patil . Real-Time Traffic Sign Recognition System based on Colour Image Segmentation. International Journal of Computer Applications. 83, 3 ( December 2013), 30-35. DOI=10.5120/14430-2575

@article{ 10.5120/14430-2575,
author = { Vishal R. Deshmukh, G. K. Patnaik, M. E. Patil },
title = { Real-Time Traffic Sign Recognition System based on Colour Image Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 3 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number3/14430-2575/ },
doi = { 10.5120/14430-2575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:58:26.137436+05:30
%A Vishal R. Deshmukh
%A G. K. Patnaik
%A M. E. Patil
%T Real-Time Traffic Sign Recognition System based on Colour Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 3
%P 30-35
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The traffic symbol system has been studies for many years. The system mainly has two phases, 1) Sign detection, 2) Recognition. It is one of the most important research area for enabling vehicle driving assistances. The automatic driving system should be simple in order to detect symbol with high responses. The challenge gets more difficult in order to make system simple while avoiding complex image processing techniques to detect symbol. The propose system consist of three main phases, 1) Frame selection, 2) Symbol detection, 3) Symbol Recognition. In frame selection phase the best frame possibly consisting of traffic symbol is selected from number of frames. In detection phase color image segmentation is perform on given frame in order detect the symbol. In recognition phase the detected traffic symbol is recognized using joint tranceform correlation (JTC) technique which is generally use for pattern matching.

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Index Terms

Computer Science
Information Sciences

Keywords

Segmentation region of interest detection and recognition edge base Joint Transform Correlation technique

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