A survey on intelligent Internet of Things: Applications, security, privacy, and future directions

O Aouedi, TH Vu, A Sacco, DC Nguyen… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

When machine learning meets privacy: A survey and outlook

B Liu, M Ding, S Shaham, W Rahayu… - ACM Computing …, 2021 - dl.acm.org
The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

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 …

Toward end-to-end car license plate detection and recognition with deep neural networks

H Li, P Wang, C Shen - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
In this paper, we tackle the problem of car license plate detection and recognition in natural
scene images. We propose a unified deep neural network, which can localize license plates …

An efficient and layout‐independent automatic license plate recognition system based on the YOLO detector

R Laroca, LA Zanlorensi, GR Gonçalves… - IET Intelligent …, 2021 - Wiley Online Library
This paper presents an efficient and layout‐independent Automatic License Plate
Recognition (ALPR) system based on the state‐of‐the‐art you only look once (YOLO) object …

Research on license plate recognition algorithms based on deep learning in complex environment

W Weihong, T Jiaoyang - IEEE Access, 2020 - ieeexplore.ieee.org
License plate recognition systems are widely used in modern smart cities, such as toll
payment systems, parking fee payment systems and residential access control. Such …

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 …

Segmentation-and annotation-free license plate recognition with deep localization and failure identification

O Bulan, V Kozitsky, P Ramesh… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Automated license plate recognition (ALPR) is essential in several roadway imaging
applications. For ALPR systems deployed in the United States, variation between …

Deep learning system for automatic license plate detection and recognition

Z Selmi, MB Halima, AM Alimi - 2017 14th IAPR international …, 2017 - ieeexplore.ieee.org
The detection and recognition of a vehicle License Plate (LP) is a key technique in most of
the applications related to vehicle movement. Moreover, it is a quite popular and active …

Reading car license plates using deep convolutional neural networks and LSTMs

H Li, C Shen - arxiv preprint arxiv:1601.05610, 2016 - arxiv.org
In this work, we tackle the problem of car license plate detection and recognition in natural
scene images. Inspired by the success of deep neural networks (DNNs) in various vision …