Abstract
In this paper a new method to detect road signs from color road images and to discriminate them is proposed. This problem has been recognized as an important research field of ITS(Intelligent Transportation Systems). We use two neural networks called Color NN and Shape NN in order to increase the success rate in discrimination. Color NN is used to extract pixels which have colors on road signs. Shape NN, whose inputs are shape feature coefficients, examines whether the regions extracted by Color NN have similar shapes to road signs, i.e., circle, rectangular, and so on. Experimental results show this method is sufficiently efficient for practical use.
