A Bangladeshi License Plate Detection System Based on Extracted Color Features

As the number of motorized vehicles is increasing rapidly in Bangladesh, Automatic License Plate Detection and Recognition (ALPDR) systems have become a necessity for proper management of vehicles on roads. The first phase of an ALPDR system is the detection and localization of number plates from vehicle images. In this paper, we introduce a dataset of 630 images that were manually captured. The dataset represents various real-world scenarios. We propose the use of color histograms with MinPool and MaxPool features for license plate detection and localization. The detection system was tested in multiple color spaces to observe their effect on the detection phase. The proposed and developed system is very effective and achieved high levels of correctness in the detection phase according to different metrics.