Detection and recognition of traffic signs is an essential task of regulating the traffic, guiding and warning driver’s pedestrians. In traffic sign detection research are categorized into three groups. The first group of researchers believes that traffic sign detection colors are important information by which traffic signs can be detected and classified. The second group believes that detecti...

According to several key technologies in automatic identification technology of traffic signs, this paper makes a detailed study. First of all, from traffic signs segmentation algorithm, a segmentation algorithm based on iterative segmentation and maximum variance between clusters of traffic signs is studied. Secondly, with feature extraction of traffic signs based on SIFT studied, the codebook...

Insufficient comprehension of traffic signs among motorcyclists is a contributing factor to accidents. Furthermore, the ability comprehend these closely tied cognitive process accurately interpreting information conveyed, with one key influencing factors being representation themselves. Therefore, this research aimed examine effect sign types on understanding signs, utilizing an experimental ap...

During the last 10 years, computer hardware technology has been improved rapidly. Large memory, storage is no longer a problem. Therefore some trade-off (dirty and quick algorithms) for traffic sign recognition between accuracy and speed should be improved. In this study, a new approach has been developed for accurate and fast recognition of traffic signs based on human vision models. It applie...