An Automatic Traffic Sign Detection and Recognition System Based on Colour Segmentation, Shape Matching, and SVM
Joint Authors
Wali, Safat B.
Samad, Salina A.
Hussain, Aini
Hannan, M. A.
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The main objective of this study is to develop an efficient TSDR system which contains an enriched dataset of Malaysian traffic signs.
The developed technique is invariant in variable lighting, rotation, translation, and viewing angle and has a low computational time with low false positive rate.
The development of the system has three working stages: image preprocessing, detection, and recognition.
The system demonstration using a RGB colour segmentation and shape matching followed by support vector machine (SVM) classifier led to promising results with respect to the accuracy of 95.71%, false positive rate (0.9%), and processing time (0.43 s).
The area under the receiver operating characteristic (ROC) curves was introduced to statistically evaluate the recognition performance.
The accuracy of the developed system is relatively high and the computational time is relatively low which will be helpful for classifying traffic signs especially on high ways around Malaysia.
The low false positive rate will increase the system stability and reliability on real-time application.
American Psychological Association (APA)
Wali, Safat B.& Hannan, M. A.& Hussain, Aini& Samad, Salina A.. 2015. An Automatic Traffic Sign Detection and Recognition System Based on Colour Segmentation, Shape Matching, and SVM. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073321
Modern Language Association (MLA)
Wali, Safat B.…[et al.]. An Automatic Traffic Sign Detection and Recognition System Based on Colour Segmentation, Shape Matching, and SVM. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073321
American Medical Association (AMA)
Wali, Safat B.& Hannan, M. A.& Hussain, Aini& Samad, Salina A.. An Automatic Traffic Sign Detection and Recognition System Based on Colour Segmentation, Shape Matching, and SVM. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073321
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073321