A kind of ECC-KNN classifiers vehicle identification algorithm
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.
edge orientation histograms Error correction coding K-Nearest neighborhood classifier
Lü Lin-tao Gao-huan YANG Yu-xiang
College of Computer Science and Engineering Xian University of Technology Xian ,China College of Computer Science and Engineering, School of Mechanical and Precision Instrument Engineeri
国际会议
太原
英文
710-712
2013-04-06(万方平台首次上网日期,不代表论文的发表时间)