Analysis of Traffic Sign Detection and Recognition

Abstract

Accidents are happens due to avoidance of traffic sign.As per worldwide street insights almost 1.3 million individuals bite the dust in street mishap in every year [ASIRT, 2014]. In the event that there is a programmed location and acknowledgment framework, it can instantly report the right traffic signs to the driver and furthermore diminish the weight of the driver. At the point when the driver disregards a traffic sign, the framework can give a convenient cautioning.  In this seminar we studied five different papers.Colour segmentation, Edge Extraction, Template matching techniques used for traffic sign detection.Conventional neural Network, Speeded up Robust Features is applied for traffic sign recognition.