Classification of Traffic Signs Using Artificial Neural Networks
نویسنده
چکیده
A traffic sign classification method based on artificial neural network is proposed in this paper. The proposed method for classifying traffic signs first detects traffic signs by using on the property of color probability model and then classifies the detected traffic signals. In both of detection and classification processes, two artificial neural network models are utilized. Experiments on practical image data sets show that the proposed method can detect and classify traffic signs with favorable accuracy.
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