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

Civil Engineering

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