Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

A license plate location method combining the license plate location method based on the HSV color space and the license plate location method based on the boundary detection

Authors
Wei Lin, Hao Du
Corresponding Author
Wei Lin
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.381How to use a DOI?
Keywords
license plate location; HSV color space; boundary detection.
Abstract
The first step of the license plate automatic recognition is the license plate location,therefore,the license plate location method is very important to the license plate automatic recognition.A license plate location method combining the license plate location method based on the HSV color space and the license plate location method based on the boundary detection is presented in this paper. A total of 216 experimental images are tested in this paper. Through the analysis of experimental results, it’s found that this method can achieve the license plate location accurately, and the method’s accuracy is 98.6 percent.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.381How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wei Lin
AU  - Hao Du
PY  - 2016/03
DA  - 2016/03
TI  - A license plate location method combining the license plate location method based on the HSV color space and the license plate location method based on the boundary detection
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1912
EP  - 1915
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.381
DO  - https://doi.org/10.2991/icmmct-16.2016.381
ID  - Lin2016/03
ER  -