Automated license plate recognition: a survey on methods and techniques
J Shashirangana, H Padmasiri, D Meedeniya… - IEEE …, 2020 - ieeexplore.ieee.org
With the explosive growth in the number of vehicles in use, automated license plate
recognition (ALPR) systems are required for a wide range of tasks such as law enforcement …
recognition (ALPR) systems are required for a wide range of tasks such as law enforcement …
A robust and efficient approach to license plate detection
Y Yuan, W Zou, Y Zhao, X Wang, X Hu… - … on Image Processing, 2016 - ieeexplore.ieee.org
This paper presents a robust and efficient method for license plate detection with the
purpose of accurately localizing vehicle license plates from complex scenes in real time. A …
purpose of accurately localizing vehicle license plates from complex scenes in real time. A …
License plate recognition from still images and video sequences: A survey
CNE Anagnostopoulos… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
License plate recognition (LPR) algorithms in images or videos are generally composed of
the following three processing steps: 1) extraction of a license plate region; 2) segmentation …
the following three processing steps: 1) extraction of a license plate region; 2) segmentation …
An algorithm for license plate recognition applied to intelligent transportation system
Y Wen, Y Lu, J Yan, Z Zhou… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
An algorithm for license plate recognition (LPR) applied to the intelligent transportation
system is proposed on the basis of a novel shadow removal technique and character …
system is proposed on the basis of a novel shadow removal technique and character …
[PDF][PDF] Automatic number plate recognition system (anpr): A survey
Traffic control and vehicle owner identification has become major problem in every country.
Sometimes it becomes difficult to identify vehicle owner who violates traffic rules and drives …
Sometimes it becomes difficult to identify vehicle owner who violates traffic rules and drives …
Real-time license plate recognition on an embedded DSP-platform
In this paper we present a full-featured license plate detection and recognition system. The
system is implemented on an embedded DSP platform and processes a video stream in real …
system is implemented on an embedded DSP platform and processes a video stream in real …
Deep learning-based parking occupancy detection framework using ResNet and VGG-16
The rise in traffic congestion today has necessitated growing research and development in
parking management systems to provide real-time indications of the occupancy of indoor …
parking management systems to provide real-time indications of the occupancy of indoor …
A real-time automatic plate recognition system based on optical character recognition and wireless sensor networks for ITS
NV Dalarmelina, MA Teixeira, RI Meneguette - Sensors, 2019 - mdpi.com
Automatic License Plate Recognition has been a recurrent research topic due to the
increasing number of cameras available in cities, where most of them, if not all, are …
increasing number of cameras available in cities, where most of them, if not all, are …
A vehicle license plate detection method using region and edge based methods
MA Lalimi, S Ghofrani, D McLernon - Computers & Electrical Engineering, 2013 - Elsevier
In this paper, a license plate detection system is implemented. For this purpose, we improve
the contrast at possible locations where there might be a license plate, we propose a filtering …
the contrast at possible locations where there might be a license plate, we propose a filtering …
Operator context scanning to support high segmentation rates for real time license plate recognition
I Giannoukos, CN Anagnostopoulos, V Loumos… - Pattern Recognition, 2010 - Elsevier
Introducing high definition videos and images in object recognition has provided new
possibilities in the field of intelligent image processing and pattern recognition. However …
possibilities in the field of intelligent image processing and pattern recognition. However …