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We present a system for the whole road sign detection and recognition task. Road sign regions are detected and extracted from real-world scenes on the basis of their color and shape features. Color segmentation is performed introducing a dynamic threshold in the pixel aggregation process on the HSV color space. The dynamic threshold allows the reduction of hue instability in real scenes depending on external brightness variation. Experimental results, using real road images in different environment conditions, are also reported.