Title :
A Method of Fast and Robust for Traffic Sign Recognition
Author :
Yongping Wang ; Meiping Shi ; Tao Wu
Author_Institution :
Dept. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technolgy, Changsha, China
Abstract :
This paper proposes a fast and robust algorithm for traffic sign detection and recognition. The algorithm includes two stages: traffic sign detection and recognition. In the first stage, Adaboost algorithm based red pixels model of speed limit sign in the Lab color space is built. Then the model is used to extract area of latent speed limit signs. After that, the improved Hough Transform is used to locate the signs precisely. In the second stage, the template matching algorithm is used to recognize the traffic sign. At the same time, a new method of rejecting non-signs is presented, which improved the recognition rate in the complex outdoor scenes.
Keywords :
Hough transforms; character recognition; driver information systems; image colour analysis; image matching; image recognition; road traffic; Adaboost algorithm; Hough transform; Lab color space; red pixels model; speed limit signs; template matching algorithm; traffic sign detection; traffic sign recognition; Clustering algorithms; Color; Graphics; Image recognition; Information filtering; Information filters; Layout; Robustness; Telecommunication traffic; Traffic control; Hough transform; color filtering; context information; criterion of rejection; traffic sign;
Conference_Titel :
Image and Graphics, 2009. ICIG '09. Fifth International Conference on
Conference_Location :
Xi´an, Shanxi
Print_ISBN :
978-1-4244-5237-8
DOI :
10.1109/ICIG.2009.130
