Results 11 to 20 of about 7,890 (261)

BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition

open access: yesArray, 2022
The development of the Automatic License Plate Recognition (ALPR) system has received much attention for the English license plate. However, despite being the sixth-largest population around the world, no significant progress can be tracked in the ...
Md. Saif Hassan Onim   +6 more
doaj   +1 more source

Automatic License Plate Recognition

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: In current situations many advancements have been made in License Plate (LP) recognition techniques to enhance accuracy, they are often limited to ideal scenarios with accurately annotated training data and restricted situations. Furthermore, monitoring systems frequently employ low-resolution (LR) images or videos.
P. Pavan Raju   +3 more
openaire   +1 more source

License Plate Recognition Methods Employing Neural Networks

open access: yesIEEE 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   +4 more
doaj   +1 more source

Plate Number Recognition based on Hybrid Techniques

open access: yesUHD Journal of Science and Technology, 2022
Globally and locally, the number of vehicles is on the rise. It is becoming more and more challenging for authorities to track down specific vehicles. Automatic License Plate Recognition becomes an addition to transportation systems automation. Where the
Hawar Hussein Yaba, Hemin Omer Latif
doaj   +1 more source

Robust Automatic Recognition of Chinese License Plates in Natural Scenes

open access: yesIEEE Access, 2020
Automatic license plate recognition has a wide range of applications in intelligent transportation systems and is of great significance. However, most of the current work on license plate recognition focuses on the images on the front of license plates ...
Ming-Xiang He, Peng Hao
doaj   +1 more source

Benchmarking Algorithms for Automatic License Plate Recognition

open access: yesCoRR, 2022
We evaluated a lightweight Convolutional Neural Network (CNN) called LPRNet [1] for automatic License Plate Recognition (LPR). We evaluated the algorithm on two datasets, one composed of real license plate images and the other of synthetic license plate images.
Marcel Del Castillo Velarde   +1 more
openaire   +2 more sources

Automatic License Plate Recognition: A Review with Indonesian Case Study

open access: yesScientific Journal of Informatics, 2018
The Automatic License Plate Recognition (ALPR) has been becoming a new trend in transportation systems automation. The extraction of vehicle’s license plate can be done without human intervention.
Aris Budianto
doaj   +1 more source

Automatic License Plate Recognition System

open access: yesInternational Journal of Advanced Research in Science, Communication and Technology, 2022
Automatic Number Plate Recognition (LPR) plays an important role in numerous applications and various techniques have been proposed. In this paper we will learn about the automatic license plate detection of the security purpose and documentation of entry of vehicles inside any building.
null Supriya S S, null Arunkumar K L
openaire   +1 more source

USAGE OF MASK R-CNN FOR AUTOMATIC LICENSE PLATE RECOGNITION

open access: yesСучасні інформаційні системи, 2023
The subject of study is the creation process of an artificial intelligence system for automatic license plate detection. The goal is to achieve high license plate recognition accuracy on large camera angles with character extraction.
Andrii Podorozhniak   +3 more
doaj   +1 more source

License Plate Detection Using Convolutional Neural Network–Back to the Basic With Design of Experiments

open access: yesIEEE Access, 2022
Automatic License Plate Recognition (ALPR) is one of the applications that hugely benefited from Convolutional Neural Network (CNN) processing which has become the mainstream processing method for complex data.
Yang Yang Lee   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy