<p><span>Automatic licence plate recognition (LPR) has been a subject of study for the last few decades. Considering recent advancements in machine learning methods and portable devices, this increasingly attracting researchers’ interest to provide more reliable LPR systems. Several techniques have reported literature different intelligent transportation applications surveillance sy...

This paper proposes a robust system to recognize vehicle license plate by multi-frames learning. To fast locate the position of a license plate, we adopt a morphology-based method to extract important contrast features as filters to find all possible license plate candidates after calculating motion energy from video frames. The contrast feature is robust to lighting changes and invariant to di...

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 with or without a database in many applications, such as electronic payment systems (toll payment, parking fee payment), and freeway and arterial monitoring systems for traffic surveillance. The illuminated images are bett...

Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most...

A license plate recognition (LPR) system is one kind of intelligent transport systems and is of considerable interest because of its potential applications to areas such as highway electronic toll collection, traffic monitoring system and so on. This paper proposes an automatic license plate recognition system for Saudi Arabian license plates. The system captures the images of the vehicles with...

Automatic license plate recognition plays an essential role in many applications and a number of methods have been proposed. These applications range from complex security systems to common areas and from parking admission to urban traffic control. License plate recognition has hard properties due to varied effects as fog, rain, shadows, irregular illumination conditions, variable distances, ca...

In this paper, a novel algorithm for a car license recognition system is presented. We employ a double back-projection super-resolution image enhancement technique. Modification of initial guess estimation idea has resulted in accuracy improvement and convergence speed up. Bi-lateral back-projection filtering scheme which has been employed as an advanced preprocessor can achieve edge-preserving...

Vehicle Number Plate Recognition system has gained wide popularly with the continuous increase in the number of vehicle related offences. Its research is becoming challenging and interesting day by day. VNPR is designed to help in recognition of number plates of vehicles .Number plate recognition is the term used to unique identify road vehicles without human intervention. VNPR system is a step...

Recent research initiatives have addressed the need for improved performance of license plate recognition accuracy that would profit many applications, ITS in particular. Different image processing techniques have been implemented for this purpose specifically edge detection, binarization, segmentation algorithm and tesseract. Each of these steps has its own strengths and weaknesses and it has ...