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http://dx.doi.org/10.7471/ikeee.2012.16.4.356

Fast algorithm for Traffic Sign Recognition  

Dajun, Ding (Dept. of Electronic Engineering, Soongsil University)
Lee, Chanho (School of Electronic Engineering, Soongsil University)
Publication Information
Journal of IKEEE / v.16, no.4, 2012 , pp. 356-363 More about this Journal
Abstract
Information technology improves convenience, safety, and performance of automobiles. Recently, a lot of algorithms are studied to provide safety and environment information for driving, and traffic sign recognition is one of them. It can provide important information for safety driving. In this paper, we propose a method for traffic sign detection and identification concentrating on reducing the computation time. First, potential traffic signs are segmented by color threshold, and a polygon approximation algorithm is used to detect appropriate polygons. The potential signs are compared with the template signs in the database using SURF and ORB feature matching method.
Keywords
Pattern Recognition; Traffic Sign; SIFT; SURF; ORB; OpenCV;
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