License Plate Location Based on Simplified Pulse Coupled Neural Network and Comprehensive Feature
- 10.2991/csic-15.2015.39How to use a DOI?
- License plate location, Pulse coupled neural network, Morphology, Color analysis, Line scan, Vertical projection
License plate location is the key of the license plate recognition system. In order to accurately to locate the license plate region in the complex environment, this paper puts forward a license plate locating method based on simplified pulse coupled neural network and comprehensive feature. Firstly, pre-processing and morphological filtering on the vehicle image, and extract the license plate candidate area based on the structure features of the license. Then, doing color analysis in the candidate area of HSV color space to achieve coarse location of license plate. After that, using simplified Pulse Coupled Neural Network (PCNN) for image binarization and using the radon transform of license plate to tilt correction. Finally, get the accurate localization of the correction results of license plate by line scan and vertical projection. The experimental results show that the algorithm has high accuracy, good robustness and can meet the real-time requirement.
- © 2015, 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 - Guangjun Xie AU - Xiaoxi Ren PY - 2015/07 DA - 2015/07 TI - License Plate Location Based on Simplified Pulse Coupled Neural Network and Comprehensive Feature BT - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication PB - Atlantis Press SP - 163 EP - 166 SN - 2352-538X UR - https://doi.org/10.2991/csic-15.2015.39 DO - 10.2991/csic-15.2015.39 ID - Xie2015/07 ER -