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 …

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 …

A novel license plate location method based on wavelet transform and EMD analysis

S Yu, B Li, Q Zhang, C Liu, MQH Meng - Pattern Recognition, 2015 - Elsevier
Although various license plate location methods have been proposed in the past decades,
their accuracy and ability to deal with different types of license plates still need to be …

Fast automatic liver segmentation combining learned shape priors with observed shape deviation

M Erdt, S Steger, M Kirschner… - 2010 IEEE 23rd …, 2010 - ieeexplore.ieee.org
We present a novel statistical shape model approach for fully automatic CT liver
segmentation. Unlike previous techniques, our method combines learned local shape priors …

A vision-based machine learning method for barrier access control using vehicle license plate authentication

KT Islam, RG Raj, SM Shamsul Islam, S Wijewickrema… - Sensors, 2020 - mdpi.com
Automatic vehicle license plate recognition is an essential part of intelligent vehicle access
control and monitoring systems. With the increasing number of vehicles, it is important that …

License plate location based on Haar-like cascade classifiers and edges

Y Zhao, J Gu, C Liu, S Han, Y Gao… - 2010 second WRI global …, 2010 - ieeexplore.ieee.org
License plate recognition is a core module for intelligent transportation systems, while
license plate location is an important part of it. Haar-like cascade classifier is good for face …

Fostering concurrent engineering of cyber-physical systems a proposal for an ontological context framework

M Daun, J Brings, T Weyer… - 2016 3rd International …, 2016 - ieeexplore.ieee.org
Cyber-physical systems are not developed as standalone systems, but in conjunction with
other systems and are subsequently aggregated to some super system (ie a car or an …

[HTML][HTML] Street sign recognition using histogram of oriented gradients and artificial neural networks

KT Islam, S Wijewickrema, RG Raj, S O'leary - Journal of imaging, 2019 - mdpi.com
Street sign identification is an important problem in applications such as autonomous
vehicle navigation and aids for individuals with vision impairments. It can be especially …

Method for authenticating a security element, and optically variable security element

A Schilling, U Frieser, B Schmitzer… - US Patent …, 2018 - Google Patents
US10019626B2 - Method for authenticating a security element, and optically variable security
element - Google Patents US10019626B2 - Method for authenticating a security element, and …

Reinforced adaboost learning for object detection with local pattern representations

Y Lee, DK Han, H Ko - The Scientific World Journal, 2013 - Wiley Online Library
A reinforced AdaBoost learning algorithm is proposed for object detection with local pattern
representations. In implementing Adaboost learning, the proposed algorithm employs an …