Multinational Automatic Vehicle License Plate Recognition System

Computer Engineering

Automatic Vehicle Number Plate Recognition is a key technique in most traffic-related applications and is an active research topic in the domain of image processing. Deep Multinational Automatic Vehicle Number Plate Recognition System is designed to be applicable to multinational license plates. Automatic number-plate recognition (ANPR) is a technology that uses optical character recognition (OCR) on images to read vehicle registration plates to create vehicle location data as well as time at that location. The process of identifying particular objects in an image plays a crucial part in the fields of Deep learning and computer vision or digital image processing. Vehicle plate detection and recognition appear in vast variety of applications from including travel time estimation, car counting on highways, traffic violations detection, speed calculation and surveillance applications. Also, the vehicle’s license plate is the only trustworthy identity of a vehicle in Intelligent Transportation Systems (ITS) and correct vehicle identification depends highly on the accuracy of such ANPR systems. Because of recent developments of highway and the increased utilization of vehicles, significant interest has been paid towards the latest, effective, and precise intelligent transportation system (ITS). Keywords: automatic license plate recognition; image processing; computer vision; deep learning; machine learning; vehicle identification; neural networks; intelligent transportation system; object detection and tracking; recognition; optical character recognition, surveillance applications.

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