Automatic license plate recognition (ALPR) is the extraction of vehicle license plate
information from an image or a sequence of images. The extracted information can be used …

Abstract Automatic Number Plate Recognition (ANPR) technology has been intensively
engaged in managing the smartification and digitalization of cities in recent years as an …

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 …

We split the applications of vehicle license plate recognition (LPR) into three major
categories and propose a solution with parameter settings that are adjustable for different …

License plate recognition (LPR) algorithms in images or videos are generally composed of
the following three processing steps: 1) extraction of a license plate region; 2) segmentation …

This work details Sighthounds fully automated license plate detection and recognition
system. The core technology of the system is built using a sequence of deep Convolutional …

In this work, we tackle the problem of multi-norm and multilingual license plate (LP)
detection and recognition in natural scene images. The system architecture use a pipeline …

The incorporation of deep-learning techniques in embedded systems has enhanced the
capabilities of edge computing to a great extent. However, most of these solutions rely on …

With the increasing popularity of portable camera devices and embedded visual processing,
text extraction from natural scene images has become a key problem that is deemed to …

Fog computing has emerged as a promising technology that can bring cloud applications
closer to the devices at the network edge. The fog infrastructure contains mainly distributed …