A kind of ECC - KNN classifier's vehicle identification algorithm
Lin-tao Lü, Huan Gao, Yu-xiang Yang
Available Online February 2013.
- https://doi.org/10.2991/isccca.2013.178How to use a DOI?
- edge orientation histograms, Error correction coding, K-Nearest neighborhood classifier,
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lin-tao Lü AU - Huan Gao AU - Yu-xiang Yang PY - 2013/02 DA - 2013/02 TI - A kind of ECC - KNN classifier's vehicle identification algorithm BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013) PB - Atlantis Press SP - 710 EP - 712 SN - 1951-6851 UR - https://doi.org/10.2991/isccca.2013.178 DO - https://doi.org/10.2991/isccca.2013.178 ID - Lü2013/02 ER -