Automated speed limit identification for efficient driving system

Abstract

Driver Assistance System is a highly efficient automotive machine. It plays a very important role in increasing the efficiency of a driver. High reliability and accurate classification is required for real time decision making practices. This paper presents a machine vision based traffic sign recognition system for real-time sign detection, segmentation and classification. An algorithm is presented in this paper to recognize traffic sign templates using Optical Character Recognition Technique (OCR). At the end, the region of interest is made visually prominent and is shown on the screen of the automobile. The abilities and robustness of proposed technique is tested against different scenarios.