Real-time detection and recognition of traffic signs

Automated recognition of traffic signs is becoming a very interesting area in computer vision with clear possibilities of its application in automotive industry. For example, it would be possible to design a system which could recognize the current speed limit on the road and notify the driver in an appropriate manner. In this paper we deal with methods for automated localization of certain traffic signs, and classification of those signs according to the official designations. We propose two different approaches of determining the current speed limit after the sign was localized. A demo software system was developed to demonstrate the presented methods. Finally, we compare results obtained from the developed software, and discuss the influence of different parameters on recognition performance and quality.