Abstract
In this paper, we present a method of the correspondence of character areas to arrows for road guide sign recognition to develop a driver support system in ITS. Generally, on a guide sign, there are arrows representing directions and characters representing destinations and distances. First, arrows are detected using their shape characteristics. Next, the sign is classified using the number of arrow objects and arrowheads. Then the character areas on the sign are assigned to their corresponding arrows by segmenting the sign using arrowhead positions. We tested 65 images zoomed in signs. 154 arrowheads on these signs were detected completely. In 62 images, character areas were assigned to arrows successfully. Hence, the usefulness of our method was shown.
