Abstract Automatic Number Plate Recognition (ANPR) is a tool that can be used not only at
toll booths on highways, expressways, etc. to speed up the process of toll collection but also …

Deep convolutional neural networks (CNNs) can improve recognition rate in license plate to
improve traffic. However, these methods may refer to big computational costs and a lot of …

Reliable and cost-efficient license plate recognition (LPR) systems enhance security, traffic
management, and automated toll collection in real-world applications. This study addresses …

Vehicle identification systems are vital components that enable many aspects of
contemporary life, such as safety, trade, transit, and law enforcement. They improve …

This review paper critically examines the recent advancements in refining Generative
Adversarial Networks (GANs) to address the challenges posed by small datasets and the …

This study investigates the effectiveness of current deep learning techniques in license plate
detection and makes essential contributions. Instead of classifying the characters on Turkish …

Automatic license plate recognition plays an important role in vehicle management. The
performance of current license plate recognition systems is significantly affected by large …

This paper presents a comparative study on license plate detection and recognition
algorithms in unconstrained environments, which include varying illuminations, nonstandard …

Training all-optical neural networks in itself remains an unresolved problem, and the
challenges compound when the problem is turned into the hardware implementations. In …

This paper presents a novel use of a bio-inspired retina model as a scene preprocessing
stage for the recognition of letters and numbers on Chilean vehicle license plates. The goal …