NDLI: Two-Stage Road Sign Detection and Recognition

Content Provider	IEEE Xplore Digital Library
Author	Wen-Jia Kuo Chien-Chung Lin
Copyright Year	2007
Description	Author affiliation: Yuan Ze Univ., Chung-Li (Wen-Jia Kuo; Chien-Chung Lin)
Abstract	We propose a road sign detection and recognition method using two-stage classification strategy. In the detection phase, geometric characters of road traffic signs, Hough transformation, corner detection, and projection are used to detect the exact position of the road sign in the image under noisy and complicated environment. In the recognition phase, convolution, radial basis function (RBF) neural network and K-d tree are used to recognize the road signs in two stages. Experimental results show that most road signs can be correctly detected and recognized by our proposed method with the accuracy of 95.5%. Moreover, the method is robust against the major difficulties of road sign detection and recognition. The proposed approach would be helpful for the development of intelligent driver support system and provide effective driving assistance message.
Starting Page	1427
Ending Page	1430
File Size	2123549
Page Count	4
File Format	PDF
ISBN	1424410169
DOI	10.1109/ICME.2007.4284928
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Roads Neural networks Phase detection Image reconstruction Classification tree analysis Image edge detection Information management Telecommunication traffic Working environment noise Phase noise
Content Type	Text
Resource Type	Article

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