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

DOI

10.2991/isccca.2013.178How to use a DOI?

Keywords

edge orientation histograms, Error correction coding, K-Nearest neighborhood classifier,

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/isccca.2013.178
ID  - Lü2013/02
ER  -