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The paper describes an approach towards road sign detection and recognition system. The model consists of two parts: localization and recognition. First one is responsible for the identification of region of interest by creating rectangular boxes marking off areas where signs are located. Recognition part takes these rectangular areas and uses data from those regions to tell which road traffic sign is located there. Correct classification is dependent on both parts working and communicating quickly, accurately and efficiently. It also shows the techniques used for the recognition and classification of the road signs in scientific environments and it describes the technology and the database of images that are widely used.
Kryvinska et al. (Mon,) studied this question.