Real time recognition system for traffic sign detection and classification

This paper contains topic from Machine Vision field - detection of traffic signs, captured in moving cars. Detailed recognition system for real time detection is described. This system include following steps: input image is converted in to the HSV color space or RGB color space. After this three binary maps are created. Every binary map is cleared from irrelevant information. Together with image clearing, boundaries are from possible region of interest detected (ROI). When is ROI detected, shape detection is applied on every ROI. Shape detection is done by pattern matching. Then information about passed ROI(s) is used in block invariant feature extraction, where Trace Transform is used. All information from preprocessing and invariant feature extraction block is used in sign type classification. Potential of this system is discussed.