Vehicle License-Plate Recognition

Abstract

A computer system called vehicle number plate recognition can automatically identify any digital image on the number plate. Numerous actions are included in this system, including character truncation, alphanumeric character OCR, localising the number pad, and snapping photos. The primary objective of this system is to design and enhance image processing techniques and algorithms that are effective in localizing the number plate within a given image. It aims to accurately identify the location of the number plate and perform the necessary image segmentation to extract individual characters from it. To achieve this, the system utilizes the Open Computer Vision Library, which provides a comprehensive set of tools and functions for various computer vision tasks. The K-NN method and the Python programming language have been used to implement this. This system can be harnessed for a myriad of purposes, encompassing security enforcement, meticulous highway velocity measurement, detection of violations pertaining to illumination regulations, recognition of handwritten text, identification of stolen vehicle instances, and seamless implementation of automated remuneration systems.