Vehicle appearance feature recognition based on image

DOI

10.2991/mmebc-16.2016.179How to use a DOI?

Keywords

Feature information, ORB, RANSAC, Affine transformation.

Abstract

Now, the highway toll system still uses a single license plate recognition, this method has a problem of inaccurate identification. For this kind of situation, this paper put forward to increase the appearance of the vehicle feature information and can improve the accuracy of recognition. In this paper, we adopt the ORB algorithm to extract the exterior feature information of the vehicle and two-way matching RANSAC algorithms to remove mismatching points. At the same time, we continue to iteration the scale parameter of the affine transformation and rotation angle at the matching point as a kind of judgment, which improves the robustness of the algorithm.

Copyright

© 2016, 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  - Deyang Shao
AU  - Chao Xu
AU  - Shixian Luo
AU  - Bo Feng
AU  - Long Jiao
PY  - 2016/06
DA  - 2016/06
TI  - Vehicle appearance feature recognition based on image
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 859
EP  - 863
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.179
DO  - 10.2991/mmebc-16.2016.179
ID  - Shao2016/06
ER  -