Proceedings of the Conference on Advances in Communication and Control Systems-2013

Adaptive License Plate Detection

Authors
Pramod U. Chavan, Parag Kulkarni, Amit Khandebharad, Dattatray Khope
Corresponding Author
Pramod U. Chavan
Available Online April 2013.
Abstract
License plate detection process can be divided in two parts 1] plate extraction, 2] character segmentation. License plate detection relies on illumination conditions, background and mainly on camera resolution. There is absence of any common standard to compare various algorithms for a LPD system, because each technique is uniquely working on pre-assumed set of environmental conditions. These pre-assumed conditions may include camera resolution, illumination conditions, angle of viewing, etc. It is very difficult to have a system that can perform over a wide range of such conditions due to the fact that different algorithms performs differently for varying environmental conditions. This paper assesses the concerns and offers changes in license plate detection systems providing higher tolerance towards effect of camera resolution, noise and illumination conditions.
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Proceedings
Proceedings of the Conference on Advances in Communication and Control Systems-2013
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-90-78677-66-6
ISSN
1951-6851
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Pramod U. Chavan
AU  - Parag Kulkarni
AU  - Amit Khandebharad
AU  - Dattatray Khope
PY  - 2013/04
DA  - 2013/04
TI  - Adaptive License Plate Detection
BT  - Proceedings of the Conference on Advances in Communication and Control Systems-2013
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6404
ID  - Chavan2013/04
ER  -