A kind of ECC- KNN classifier's vehicle identification algorithm


Abstract—this article presents an improved classifier vehicle identification algorithm to improve the efficiency of the existing vehicle recognition algorithm. First, using edge orientation histograms to extract image characteristics, then, Error correction coding is applied to the classification of classifier, the multi-class classification problems turned into multiple binary classification problems. A large number of experimental analysis shows that the improved vehicle identification algorithm has good recognition performance and robustness. Therefore, the algorithm which this article used has high theoretical and practical value. Keywords- edge orientation histograms; Error correction coding; K-Nearest neighborhood classifier; I

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oaioai:CiteSeerX.psu: time updated on 4/12/2017

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