Road signs provide important information to guide and regulate the behavior of drivers and pedestrians in order to make their journeys safer and more comfortable. However, the shape features and color information displayed on circular road signs are not always the same. We propose a method for recognizing road signs on the basis of the shape features and color information derived from a color scene image. The proposed method works in three steps. First, a process already proposed in one of our previous studies detects road sign areasu27 color features and circularity using fuzzy reasoning. Second, the non-standard shape features of the detected road sign area are determined. Third, the values obtained from every sub-area of the image are used to enable the recognition of road signs. Our experimental results suggest that the proposed method can accurately recognize different types of circular road signs.
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