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Two-Stage Road Sign Detection and Recognition | IEEE Conference Publication | IEEE Xplore

Two-Stage Road Sign Detection and Recognition


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...Show More

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.
Date of Conference: 02-05 July 2007
Date Added to IEEE Xplore: 08 August 2007
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Conference Location: Beijing, China

References

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