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Traffic sign detection plays an important role in a traffic sign recognition system. It is also an unsolved problem in the intelligence transportation system. Two main technique routes are typically used in current research of the traffic sign detection: the technique using gray-level object image or that using color object image. The former has the advantage that the related theories and methods...
It is known that the key factor affecting recognition rate of traffic sign is the color distortion caused by the color complexity. By analyzing the color characteristics and classification features of traffic signs, this paper proposes a novel model of the traffic sign classification method using color standardization based on the rule of "simplifying the problem, using the color information...
Support vector machine (SVM) is a novel machine learning method based on statistical learning theory, which can avoid over-fitting and provide good generalization performance. In this research, multi-category SVMs (M-SVMs) is applied to traffic sign recognition and is compared with BP algorithm, which has been commonly used in neural network. 116 Chinese ideal signs and 23 Japanese signs are first...
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