Application of Machine Learning for Automatic Number Plate Recognition Using Optical Character Recognition Engine

In Nigeria, traffic control management, vehicle real- time tracking and vehicle identification have become imperative to law enforcement to enable them to digitalize or make use of computer vision to easily carry out tasks like identifying traffic offenders, tracking stolen vehicle plates in real time using traffic cams and ultimately identifying vehicle ownership using plate number in seconds. Hence, there is a need to introduce an innovative system, leveraging machine learning and optical character recognition using OpenCV and TensorFlow to produce an effective automatic number plate recognition (ANPR) software to combat such issues. This research paper seeks to use a novel methodology by using TensorFlow for model training and OpenCV for processing number plate photos to achieve identification. The recognized plate numbers will then be stored in a database.