Most current license plate (LP) detection and recognition approaches are evaluated on a
small and usually unrepresentative dataset since there are no publicly available large …

In this paper, we tackle the problem of car license plate detection and recognition in natural
scene images. We propose a unified deep neural network, which can localize license plates …

In this work, we tackle the problem of car license plate detection and recognition in natural
scene images. Inspired by the success of deep neural networks (DNNs) in various vision …

Transformer-based forecasting methods have been widely applied to forecast long-term
multivariate time series, which achieves significant improvements on extending the …

In this work, we tackle the problem of car license plate detection and recognition in natural
scene images based on the powerful deep neural networks (DNNs). Firstly, a 37-class …

License Plate Recognition (LPR) is of great significance due to its wide range of applications
in the Intelligent Transportation System (ITS). It is an important and challenging research …

License plate detection and recognition are still important and challenging tasks in natural
scenes. At present, most methods have favorable effect on license plate recognition under …

This paper is concerned with the detection and recognition of Chinese license plates in
complex backgrounds. Most applications are currently focused on good conditions. In …

License plate recognition (LPR) is an integral part of the current intelligent systems that are
developed to locate and identify various objects. Unfortunately, the LPR is a challenging …

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 …