Convolutional Neural Network-Based License Plate Recognition Techniques: A Short Overview

Identification of vehicle license plate has become more practical within the last decade in many applications such as; storage and retrieval of vehicular inflow records, automatic toll collection, parking fee payment, traffic monitoring, tracking of moving vehicles, recovery of stolen vehicles, etc. A lot of researches have been carried out on license plate recognition which has led to the development of new techniques and modification of existing techniques. This study provides a breakdown of some techniques used for the implementation of license plate recognition systems, with significant emphasis on Convolutional Neural Network (CNN). The strength and weaknesses of the highlighted techniques were discussed. Also, areas of further improvement of some of the selected CNN-based techniques were suggested.