Road Sign Recognition with Color and Edge based Features

S. Yonemoto and S. Shimamura (Japan)


HOG features´╝îSupport vector machine, and Road sign recognition


This paper presents a new road sign recognition method with color and edge based features. In our approach, first, extraction of color regions is performed to reduce the computational costs. Next, Histogram of Oriented Gradient (HOG) features are calculated in all the extracted regions. In calculation of HOG features, the edge gradients are amplified on specific color boundaries with road signs. The road sign recognition can be done by using support vector machine. Experimental results showed that the proposed method can work in real image sequences.

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