Adaptive License Plate Detection
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.
- © 2013, the Authors. Published by Atlantis Press.
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- 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 - 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 (CAC2S 2013) PB - Atlantis Press SN - 1951-6851 UR - https://www.atlantis-press.com/article/6404 ID - Chavan2013/04 ER -