Automatic number plate recognition (ANPR) in smart cities: A systematic review on technological advancements and application cases
Abstract Automatic Number Plate Recognition (ANPR) technology has been intensively
engaged in managing the smartification and digitalization of cities in recent years as an …
engaged in managing the smartification and digitalization of cities in recent years as an …
LSV-LP: Large-scale video-based license plate detection and recognition
In the past few decades, license plate detection and recognition (LPDR) systems have made
great strides relying on Convolutional Neural Networks (CNN). However, these methods are …
great strides relying on Convolutional Neural Networks (CNN). However, these methods are …
Iranis: A large-scale dataset of iranian vehicles license plate characters
Providing huge amounts of data is a fundamental demand when dealing with Deep Neural
Networks (DNNs). Employing these algorithms to solve computer vision problems resulted in …
Networks (DNNs). Employing these algorithms to solve computer vision problems resulted in …
On realistic generation of new format license plate on vehicle images
A Maltsev, R Lebedev, N Khanzhina - Procedia Computer Science, 2021 - Elsevier
Modern systems of automatic license plate recognition are mostly based on deep neural
networks and trained on image data. If data distribution changes, the systems need re …
networks and trained on image data. If data distribution changes, the systems need re …
Synthetic License Plate Generation: A Novel Approach For Effective License Plate Recognition In Malaysia
A Asaad, AR Faizabadi… - 2023 IEEE 8th International …, 2023 - ieeexplore.ieee.org
As deep learning algorithms devour large amounts of data, the quality and quantity of the
dataset utilized to solve the problem of Automatic License Plate Recognition (ALPR) are …
dataset utilized to solve the problem of Automatic License Plate Recognition (ALPR) are …
LPLA: The Adversarial Attack Against License Plate Recognition Systems
K Zhang, Y Qin, H Pan - Asia-Pacific Web (APWeb) and Web-Age …, 2024 - Springer
Neural networks are vulnerable to attacks from crafted adversarial examples. The license
plate is the only sign of the vehicle; it's legally forbidden to cover or scribble on a license …
plate is the only sign of the vehicle; it's legally forbidden to cover or scribble on a license …
Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition
An insufficient number of training samples is a common problem in neural network
applications. While data augmentation methods require at least a minimum number of …
applications. While data augmentation methods require at least a minimum number of …