Optical character recognition (OCR) method has been used in converting printed text into
editable text. OCR is very useful and popular method in various applications. Accuracy of …

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 …

License plate recognition systems are widely used in modern smart cities, such as toll
payment systems, parking fee payment systems and residential access control. Such …

Traffic control and vehicle owner identification has become major problem in every country.
Sometimes it becomes difficult to identify vehicle owner who violates traffic rules and drives …

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 …

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 …

This work is focused on recognition of license plates in low resolution and low quality
images. We present a methodology for collection of real world (non-synthetic) dataset of low …

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 …

Automatic license plate recognition plays an important role in intelligent transportation
systems and is of great significance. However, at present, most current approaches are only …

The automated toll-tax collection system (ATCS) is advantageous to facilitate traffic
management at the toll plaza and to save fuel for vehicles. The most advanced application of …