Road markers provide road information to driver to ensure road and their safety. Different types of markers indicate different kinds of information. Accidents may occur if the drivers do not follow the rules associated with the road markers or the road markers are not seen clearly by the drivers. This paper proposed a vi-sion-based system to classify three types of markers using image processing and artificial neural network (ANN). The length of the feature vector on HOG and LBP are the features extracted and use in training neural network pattern recogni-tion tool. The result shows an accuracy of 99.4% with HOG and LBP features as input vectors.