Traffic Sign Detection and Recognition Using Colour Features towards Intelligent Vehicle/Driver Assistance System

Abstract

To give sheltered and symphonies stream of movement , particular standards are given by each administration . There are certain rules laid down by the government of most of the countries for the safe, systematic and orderly movement of vehicles and traffic. Many of these rules are displayed through traffic signs to help the driver to follow while driving. The Traffic Sign Detection and Recognition (TSDR) perceives the activity signs by dissecting pictures /recordings taken from a camera system and helps in detecting and recognizing the traffic signs by analyzing images / videos captured by the camera planted on the car. This framework has many elements which help the driver in enhancing the well being and solace; today it is broadly utilized as a part of discovery and acknowledgement of our perceived signs. The framework of system can be developed using two algorithms, first is the detection of the image followed by its recognition. In wake of getting the best possible information for recognition we utilize the diverse morphological handling procedures. Colour Image processing play an vital role in the detection of the traffic sign. In this paper we chiefly accentuation on the color/shade of the activity sign for its recognition on the grounds that in many spots a standard arrangement of hues are utilized as a part of movement sign like red is used in prohibition signs. In the directional signs blue is the foundation shading in the directional signs and yellow is chosen for warning signs.