Abstract: A detection and recognition method of traffic signs is implemented with MATLAB based on traffic signs′ color and shape features. This method consists of four parts which are image segmentation based on HSV color space，detection and affine transformation correction based on geometry features，extraction of eigenvector with Gabor filter，classification and recognition with support vector machine （SVM）. Experimental results show that the proposed method can reduce projecting distortion，accurately classify and identify traffic signs.

Key words: traffic signs detection, HSV color space, affine transformation, Gabor filter, support vector machine（SVM）