*Ph.D. Scholar, CHARUSAT, Changa. Ph: 8469642715
**Professor, G. H Patel Post Graduate Dept of Science & technology, Sardar Patel University, V.V. Nagar
***Professor and Dean, CMPICA, CHARUSAT, Changa
Online published on 27 July, 2015.
Traffic or road sign detection and recognition system is a real time system. It is also known as a Driver Assistant System(DAS) which is useful to the driver to provide information regarding the traffic rules, instructions and information given on the road at the time of driving. The traffic rules are represented in a small pictorial form, erected at road sides. This paper describes various algorithms for color identification, shape recognition and matching process. Centroid feature of the image is used to identify the shape of the traffic sign. Canny method is used to find edges of the sign for matching process. Temporary template is translated according to the coordinates of the centroid stored in a knowledgebase. The accuracy level of the proposed system is more than 90%.
Centroid, DAS, Translation, Traffic sign detection, Traffic sign recognition
