Detection and recognition of traffic sign in scene image using genetic'algorithms and neural networks

This research is concerned with a new technology for the recognition of traffic sign from a scene image using genetic algorithms (denoted by GA) and neural networks (denoted by NN). First, an original video image is obtained as a binary image by using the smoothing filters. Second, the traffic sign in a scene image is searched using proposed GA. Third, if there exist two traffic signs in a video image, the method to detect the second traffic sign is developed based on the fitness of individuals. Finally, using NN, it can be recognized what kind of traffic sign is taken. Through these recognition experiments, it can be shown that the new technology proposed here is sufficiently valid for the recognition of traffic sign from a scene image.