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The paper describes an algorithm for traffic sign recognition using SIFT features. The algorithm works in four steps. First, feature points are extracted out of an input image. Secondly, the amount of the features of the feature points is computed by SIFT Descriptor. Thirdly, the final recognition result is classified by matching feature points and voting feature points. The experimental results indicate that 88.7% of the traffic signs are correctly identified under various environmental conditions.
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Takaki et al. (2009) studied this question.
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