Automated Vehicle Classification (AVC) based on vision sensors has received active
attention from researchers, due to heightened security concerns in Intelligent Transportation …

This paper presents a robust and efficient method for license plate detection with the
purpose of accurately localizing vehicle license plates from complex scenes in real time. A …

Automated license plate recognition (ALPR) is essential in several roadway imaging
applications. For ALPR systems deployed in the United States, variation between …

Edge detection is a significant stage in different image processing operations like pattern
recognition, feature extraction, and computer vision. Although the Canny edge detection …

In recent years, vehicular licence plate recognition (VLPR) framework has emerged as one
of the most significant issues in intelligent transport systems. It has emerged as an important …

Automated object detection algorithm is an important research challenge in intelligent urban
surveillance systems for Internet of Things (IoT) and smart cities applications. In particular …

The process of detecting vehicles' license plates, along with recognizing the characters
inside them, has always been a challenging issue due to various conditions. These …

Vehicle license plate (LP) detection is a relatively complex problem until we assume the use
of a static camera, variations in illumination, known templates of the LP, guaranteed color …

In this work, we describe a License Plate Recognition (LPR) system designed around
convolutional neural networks (CNNs) trained on synthetic images to avoid collecting and …

The present paper proposes a new methodology for license plate (LP) recognition in the
state of the art of image processing algorithms and an optimized neutrosophic set (NS) …