License Plate Recognition Using Artificial Neural Network Techniques

In this paper, different Artificial Neural Network techniques are analysed in the context of license plate detection and recognition. In addition, the license plate detection and recognition using various publicly and privately available image datasets, pre-processing techniques, feature extraction techniques, comparison between different artificial neural network (ANN) techniques, such as, Back Propagation Neural Networks, Recurrent Neural Network (RNN) and different convolutional neural network (CNN) techniques are discussed. It also correlates the different metrics used for evaluating performance of artificial neural networks. Advantages and the limitations of the Artificial Neural Network techniques are highlighted based on the discussion and analysis. A total of 30 research publications are considered for the time period of 2002–2022. This systematic literature review will be helpful to the budding researchers due to the detailed analysis of different methodologies in conducting further investigations.