Traffic Road Sign Detection and Classification

Road sign detection is important to a robotic vehicle that automatically drives on roads. As colors of any traffic road signs are only 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 code matrix accuracy is greater than the two referred classifiers in average, the main advantage is simplicity and so less computational cost.