Study On Algorithms For Detection And Recognition Of Traffic Signs From Natural Scenes

With the development of city planning and the popular of the cars, the number of running cars and traveling men is greatly increasing. Because the existed road cannot meet the demand of traffic flux, the problems such as traffic jams, accidents, road safeties and efficiencies in transportation are becoming more and more serious. Intelligent Transportation System (ITS) is an important means to solve these problems, which is an integrated system combining the technology of communication, measurement, control and computer. It is of significance to guarantee road safety, improve transportation ability and promote the development of economics. At the present time, ITS has been developed greatly in our country and been listed in the eleventh five-year development plan. As an important system in ITS, the detection and recognition of traffic signs from natural scenes is becoming one of the hot spots in the international research field of the Intelligent Transportation System, which based on the technique of image processing. Although many algorithms for recognition of traffic signs are developed and they play the important roles in some practice instances, they also have some essential drawbacks and deficiencies. So it is important to study the refinement algorithms with the more real-time and better precision using the new developed techniques and theories for their applications. At the same time, as a type problem in pattern recognition, the study of the recognition of traffic signs can make progress in the field of pattern recognition both at theories and techniques.Traffic signs from natural scenes are received from the video on board and to be put to computers. Then through the image processing using the developed algorithms in computer, traffic signs can be recognized. But the study of recognition of traffic signs from natural scenes is more difficult and with more challenge than the study in non-natural scenes. There are two main difficulties in the recognition of traffic signs from natural scenes, including 1) how to get the satisfying traffic signs images...