Proceedings of the 3rd International Conference on Computer Science and Service System

An Efficient Method of License Plate Location under Complicated Background

Authors
Fengsong Hu, Manman Zhou
Corresponding Author
Fengsong Hu
Available Online June 2014.
DOI
10.2991/csss-14.2014.94How to use a DOI?
Keywords
license plate location; edge detection; Mathematical morphology ;SSIFT
Abstract

License plate location is the key of license plate recognition.In order to locate license plate quickly and accurately under complicated background,this paper presents a new location algorithm.Firstly,we make a set of pretreatment to original image,such as graying,binarization,noise reduction and edge detection.Secondly,use the method of mathematical morphology to get candidate areas of license plate.Finally, make the feature matching in candidate areas which using a method of improved feature matching --SSIFT(Scale-invariant Feature Transform).The experimental results show that, this method has a high recognition efficiency in the complex background and it has good robustness.

Copyright
© 2014, 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/).

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
10.2991/csss-14.2014.94
ISSN
1951-6851
DOI
10.2991/csss-14.2014.94How to use a DOI?
Copyright
© 2014, 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  - Fengsong Hu
AU  - Manman Zhou
PY  - 2014/06
DA  - 2014/06
TI  - An Efficient Method of License Plate Location under Complicated Background
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 398
EP  - 401
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.94
DO  - 10.2991/csss-14.2014.94
ID  - Hu2014/06
ER  -