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>Traffic Signs Recognition Based on PCA-SIFT
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Traffic Signs Recognition Based on PCA-SIFT
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机译:基于PCA-SIFT的交通标志识别
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摘要
Traffic signs automatic recognition was researched in this paper. Traffic signs image preprocessing methods was introduced firstly. Secondly, feature extraction algorithm of traffic signs based on SIFT was elaborated, then a fast SIFT algorithm based on PCA dimensionality reduction was presented to extract the characteristics of traffic signs. Finally, the SVM classifier was studied. A large number of experimental results were completed to demonstrate the effectiveness and practicality of related algorithms.
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