Traffic Road Sign Detection and Classification

Fartaj, Mehdi; Ghofrani, Sedigheh

Document Type : Review Article

Authors

Mehdi Fartaj ¹
Sedigheh Ghofrani ²

¹ Electrical Engineering Department, Islamic Azad University, South Tehran Branch, Tehran, Iran

² Islamic Azad University, South Tehran Branch

Abstract

Traffic road sign detection is important to a robotic vehicle that automatically drives on roads. As the colors of most traffic road signs are blue and red, in this paper, we use Hue- Saturation- Intensity (HSI) color space for color based segmentation at first. Using important geometrical features, the road signs are detected perfectly. After segmentation, it turns to classify every detected road signs. For this purpose, we employ and compare the performance of three classifiers; they are distance to border (DTB), FFT sample of signature, and code matrix. In this work, we use the code matrix as an efficient classifier for the first time. Although the achieved accuracy by code matrix is greater than the two referred classifiers in average, the main advantage is simplicity and so less computational cost.

Keywords

References

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Majlesi Journal of Electrical Engineering

Traffic Road Sign Detection and Classification

References

References

Volume 6, Issue 4 - Serial Number 4
November 2012

Traffic Road Sign Detection and Classification

References

References

Volume 6, Issue 4 - Serial Number 4November 2012

Volume 6, Issue 4 - Serial Number 4
November 2012