A Road Traffic Signal Recognition System Based on Template Matching Employing Tree Classifier

The traffic sign detection and recognition system is an essential module of the driver warning and assistance system. Smart vehicles are the order of the day. Such vehicles have the ability to warn drivers of pending situations, remind them of speed limits and even automatically take evasive action. Due to the visual nature of existing infrastructure, signs and line markings, image processing will play a large part in these systems. In this paper we present an automated Traffic sign recognition system allowing an invariance localization to changes in position, scale, rotation, weather conditions, partial occlusion, and the presence of other objects of the same color. The reliability demonstrated by the proposed method suggests that this system could be a part of an integrated driver warning and assistance system based on computer vision technology.