SIMPLIFIED METHODS FOR REAL-TIME TRAFFIC SIGNS RECOGNITION

This paper presents an approach for a detection and classification algorithm of traffic signs, and in same time highlights the encountered problems that appeared in the process of software development. The methods that were utilized could be classified into color and black white segmentation, and the process of traffic sign recognition has tree stages of detection that are segmentation, detection dimensioning and recognition. In the paper it was presented an approach that would find the sign even if those would not be detected after the first stage extraction from the color matrix.