OPTICAL CHARACTER RECOGNITION METHODS FOR NUMBER PLATE RECOGNITION: A SYSTEMATIC LITERATURE REVIEW

Abstract

In the last decade, data processing of vehicle license plates became a common subject of research with numerous methodologies proposed to address the problem. The license plate recognition technology converts image data from a camera into a character format that can be further processed and manipulated in a database in a specific application area. The characters on license plates are often unambiguous in identifying vehicles that are facilitated by optical character recognition methods. The aim of this systematic literature review is to provide an overview of the most common methods used for optical character recognition in automated number plate recognition systems, as well as their level of recognition accuracy.