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This paper describes implementations of the Hough Circle Transform and the Radon Line Transform. The presented transforms were used to build a system for identify- ing road signs from selected images and recordings. This can be very important and espe- cially useful for monitoring and prevention in driver assistance systems. The design of our system assumed that the objects should be found automatically from images or video sequence. Furthermore, the detection was based on the shapes of common traffic signs which correspond to used transforms. Additionally, the Huffman method was applied to encode the data before being compared. Consequently, the traffic signs were matched directly with the Euclidean distance.

Analysis of advanced techniques of image processing based on automatic detection system and road signs recognition