Abstract
The purpose of this research is the recognition of road signs by a neural network.In this paper, we propose to use HSL color system or the double complementary colors for the inputs to ColorNN, which detects the color of road signs. The performances are evaluated by ROC analysis and compared with the previous result obtained by the NN inputs based on RGB color system. The experimental results show that HSL color system improves the detection of the red and yellow, while frequent misdetections of the sky area cause a low detection rate for the blue.On the other hand, inputs based on the double complementary colors give an improvement also in the detection of the blue.
