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Color-based traffic sign detection

According to the characteristic of traffic signs, several color components are used to extract several kinds of traffic signs, which improved the detection efficiency in pre-processing. Then the regions of interest (ROI) are set not only to save process time but also to increase the accuracy of road recognition. Meanwhile the geometric characters of the road signs are represented by morphological skeleton based on which the decision tree is designed to classify road signs. The presented methods are tested on some complex traffic images which are captured under different weather conditions.