International School of Software, Wuhan University, Wuhan, China

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Abstract—A detection and recognition method of traffic signs is implemented based on traffic signs’ color and shape features. This method consists of image segmentation based on HSV color space, detection and affine transformation correction based on geometry features, extraction of eigenvector by using Gabor filter, Classification and recognition by Support Vector Machine (SVM). The above algorithms are implemented by using MATLAB language.

Index Terms—Traffic signs detection, HSV color space, Affine transformation, Gabor filter, Support Vector Machine (SVM)

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Cite: Yixin Chen, Yi Xie, and Yulin Wang, " Detection and Recognition of Traffic Signs Based on HSV Vision Model and Shape features," Journal of Computers vol. 8, no. 5, pp. 1366-1370, 2013.