This paper presents an intelligent method for detection of traffic signs. Which uses a particular color and shape for the detection of traffic signs. Red color and down triangle shape traffic sign is taken as an example

explain this method. This method is mainly carried out in four steps. First

convert RGB color space to HIS color space

and extract pixels with red color. Then perform LOG mask operation on the pixels got from step 1

for the detection of edges. By using neural network

we determine the angle pixels

and at the same time

we also determine on which specific angle the pixel is. And finally we detect the traffic sign by using the information of shape. We used 20 different images from different scenes to test this method

and the percentage of correctness is 100%. The experimental results reveals the good robustness

high speed

accurate detection rate of the presented method.