International Research Journal of Education and Technology

A vehicle license plate recognition system is an important proficiency that could be used for identification of vehicle all over the earth. A number plate recognition system is a piece of technology that automatically recognizes and reads license plates from pictures or videos using machine learning and image processing algorithms. Number plate recognition using image processing methods is a potential research area in smart cities and Internet of Things. The system captures a picture of the license plate, extracts the characters, and then turns them into text so that it may be stored or examined later. In the pre-processing phase of this work, morphological transformation and Gaussian smoothing are two of the image processing techniques used. Subsequently, border-following contours are applied and filtered according to character dimensions and spatial localization for number plate segmentation. Character recognition is then accomplished using the K-nearest neighbour algorithm following the region of interest filtering and de-skewing processes. It can be used for many different things, such as law enforcement, toll collecting, parking enforcement, and traffic control. The systems accuracy and efficiency depend on factors such as image quality, lighting conditions, and the complexity of the license plate design.

Keywords- license plate recognition, morphological transformation, Gaussian smoothing.