Results 21 to 30 of about 80,276 (250)

Double adversarial attack against license plate recognition system

网络与信息安全学报, 2023
Recent studies have revealed that deep neural networks (DNN) used in artificial intelligence systems are highly vulnerable to adversarial sample-based attacks.To address this issue, a dual adversarial attack method was proposed for license plate ...
Xianyi CHEN, Jun GU, Kai YAN, Dong JIANG, Linfeng XU, Zhangjie FU   +5 more
doaj   +3 more sources

System of license plate recognition considering large camera shooting angles

Радіоелектронні і комп'ютерні системи, 2021
The system of automatic license plate recognition (ALPR) is a combination of software and hardware technologies implementing ALPR algorithms. It seems to be easy to achieve the goal but recognition of license plate requires many difficult solutions to ...
Heorhii Kuchuk, Andrii Podorozhniak, Nataliia Liubchenko, Daniil Onischenko   +3 more
doaj   +1 more source

Implementation of number plate detection system for vehicle registration using IOT and recognition using CNN

Measurement: Sensors, 2023
In the intelligent transportation system the automatic license plate recognition and detection plays a very important role. This application could be used for traffic control security e-payment systems in the toll pay and parking.
M.A. Jawale, P. William, A.B. Pawar, Nikhil Marriwala   +3 more
doaj   +1 more source

Vehicle License Plate Recognition [PDF]

Fusion: Practice and Applications, 2021
Fusion: Practice and Applications (FPA) Vol. 4, No. 1, PP.
Aman .., Jatin .., Somya .., Surinder Kaur   +3 more
openaire   +2 more sources

EMPIRICAL STUDY OF CAR LICENSE PLATES RECOGNITION

JUTI: Jurnal Ilmiah Teknologi Informasi, 2015
The number of vehicles on the road has increased drastically in recent years. The license plate is an identity card for a vehicle. It can map to the owner and further information about vehicle.
Nasa Zata Dina, Matthew Dailey
doaj   +1 more source

Malaysian Vanity License Plate Recognition Using Convolutional Neural Network

International Journal of Technology, 2022
Convolutional Neural Network (CNN) is used to train a Malaysian vanity license plate recognition model to recognize vanity license plate available in Malaysia. A transfer learning method is applied in this project to train the model.
Hui Hui Tan, Rehan Shahid, Manish Mishra, Sin Liang Lim   +3 more
doaj   +1 more source

Real-time image of vehicle number plate for seamless smart motor parking in challenging environments [PDF]

E3S Web of Conferences
The project aims to determine the most effective EasyOCR approach for real-time car license plate recognition, focusing on speed, accuracy, and the architecture’s capacity to accurately record license plates.
Sakanti Maria Mahardini, Suhartono, Luo Win Jet   +2 more
doaj   +1 more source

A method for license plate recognition in low-resolution conditions [PDF]

ITM Web of Conferences
With the widespread application of license plate recognition technology, the development of license plate recognition technology is becoming increasingly advanced.
Li Zongwei
doaj   +1 more source

License Plate Recognition Methods Employing Neural Networks

IEEE Access, 2023
Advances in both parallel processing capabilities because of graphical processing units (GPUs) and computer vision algorithms have led to the development of deep neural networks (DNN) and their utilization in real-world applications.
Muhammad Murtaza Khan, Muhammad U. Ilyas, Ishtiaq Rasool Khan, Saleh M. Alshomrani, Susanto Rahardja   +4 more
doaj   +1 more source

License Plate Recognition.

License Plate Recognition (LPR) systems commonly have framework of processing steps such as: Detection of number plate, Segmentation of plate characters and Recognition of each character. Number plate detection is a challenging task due to diversity of plate formats and environmental conditions during the image acquisition.
Ram, B. Likith, Teja, P. Naga Sai, Kumar, Y. Sai Avinash, Raj, Ch. Sai   +3 more
  +7 more sources