Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling

A New Algorithm Research of License Plate Tilt Correction

Authors
Zhoujuan Guan, Limin Song, Xiaorui Song
Corresponding Author
Zhoujuan Guan
Available Online May 2016.
DOI
10.2991/amsm-16.2016.32How to use a DOI?
Keywords
correction; color information; corner feature; moment of inertia
Abstract

In the parking system, the inclination of the plate image is relatively large, which creates the recognition rate of license plate is lower than the positive imaging, based on the color information and the corner feature, this paper presents a fast correction algorithm , The license plate area separated by color , then the area is processed by using mathematical morphology to extract the border and eventually locate the position of the corner, Tilt correction can be completed by using the minimum moment of inertia of the plate, experiments show that the algorithm is practical, can improve recognition rate of license plate.

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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Volume Title
Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-198-8
ISSN
2352-538X
DOI
10.2991/amsm-16.2016.32How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Zhoujuan Guan
AU  - Limin Song
AU  - Xiaorui Song
PY  - 2016/05
DA  - 2016/05
TI  - A New Algorithm Research of License Plate Tilt Correction
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 138
EP  - 140
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.32
DO  - 10.2991/amsm-16.2016.32
ID  - Guan2016/05
ER  -