Results 1 to 10 of about 101 (88)

Automatic license plate recognition on microprocessors and custom computing platforms: A review

IET Image Processing, 2021
Automatic license plate recognition (ALPR) is the process of extracting and recognizing character information within a localized license plate region. Typically, ALPR involves three steps; image capture, image procession and plate recognition.
Princewill Akpojotor Ph.D, Adebayo Adetunmbi, Boniface Alese, Ayodeji Oluwatope   +3 more
doaj   +2 more sources

FAFEnet: A fast and accurate model for automatic license plate detection and recognition

IET Image Processing, 2023
Automatic License Plate detection and Recognition (ALPR) is a key problem in intelligent transportation systems with wide applications in traffic monitoring, electronic toll collection (ETC), intelligent parking lots (IPLs), and elsewhere.
Xin Zhou, Yao Cheng, Liling Jiang, Bo Ning, Yanhao Wang   +4 more
doaj   +2 more sources

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

IET Intelligent Transport Systems, 2021
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 detector that contains a unified approach for license plate (LP) detection and layout
Rayson Laroca, Luiz A. Zanlorensi, Gabriel R. Gonçalves, Eduardo Todt, William Robson Schwartz, David Menotti   +5 more
doaj   +2 more sources

An improved Malaysian Automatic License Plate Recognition (M-ALPR) system using hybrid fuzzy in C++ environment [PDF]

2009 Innovative Technologies in Intelligent Systems and Industrial Applications, 2009
In this paper, an improved hybrid fuzzy technique (Fuzzy Logic and Template matching) for Malaysian Automatic License Plate Recognition (M-ALPR) system is proposed. The system is proposed to reduce the program complexity of the existing M-ALPR system and to decrease the processing time of recognizing Malaysian license plates.
Syamsiah Mashohor, Wisam Al-Faqheri
exaly   +2 more sources

Multiple auxiliary classifiers GAN for controllable image generation: Application to license plate recognition

IET Intelligent Transport Systems, 2023
One of the main challenges in developing machine learning (ML) applications is the lack of labeled and balanced datasets. In the literature, different techniques tackle this problem via augmentation, rendering, and over‐sampling.
Nadiya Shvai, Abul Hasnat, Amir Nakib
doaj   +2 more sources

Phone‐vehicle trajectory matching framework based on ALPR and cellular signalling data

IET Intelligent Transport Systems, 2021
With the advancement of positioning techniques, a large amount of trajectory data has been produced. Matching vehicles with mobile phones using different trajectories can benefit many applications, such as driving behaviour analysis and travel mode split.
Wei Wan, Ming Cai
doaj   +2 more sources

Automated License Plate Recognition: A Survey on Methods and Techniques

IEEE Access, 2021
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, surveillance, and toll booth operations.
Jithmi Shashirangana, Heshan Padmasiri, Dulani Meedeniya, Charith Perera   +3 more
doaj   +3 more sources

Advancing Multinational License Plate Recognition Through Synthetic and Real Data Fusion: A Comprehensive Evaluation

IET Intelligent Transport Systems
Automatic license plate recognition (ALPR) is a frequent research topic due to its wide‐ranging practical applications. While recent studies use synthetic images to improve license plate recognition (LPR) results, there remain several limitations in ...
Rayson Laroca, Valter Estevam, Gladston J. P. Moreira, Rodrigo Minetto, David Menotti   +4 more
doaj   +2 more sources

XAI-SALPAD: Explainable deep learning techniques for Saudi Arabia license plate automatic detection

Alexandria Engineering Journal
In recent decades, automatic license plate recognition (ALPR) has emerged as a critical application of artificial intelligence in intelligent transportation systems (ITS), addressing a multitude of existing issues.
Majed Alwateer, Khulood O. Aljuhani, Amin Shaqrah, Rasha ElAgamy, Ghada Elmarhomy, El-Sayed Atlam   +5 more
doaj   +3 more sources

Edge-AI-Based Real-Time Automated License Plate Recognition System

Applied Sciences, 2022
The rapid development of urban intelligence has turned intelligent transport system (ITS) development into a primary goal of traffic management. Automated license plate recognition (ALPR) for moving vehicles is a core aspect of ITS.
Cheng-Jian Lin, Chen-Chia Chuang, Hsueh-Yi Lin   +2 more
doaj   +1 more source