Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN).

Despite the increasing number of commercial and academic techniques for Automatic License Plate Recognition (ALPR), most existing methods are only region-specific (i.e., Europe, US, Brazil, Taiwan, or others) and lack value in the accuracy achieved. ALPR frequently explore datasets containing approximately frontal images (i.e., frontal images from a license plate). A comprehensive ALPR system that focuses on unrestrained capture scenarios where the number plate (NPs) may be significantly distorted to ensure it has a very robust force of accuracy.