A System for Automatic Number Plate Recognition Based on Optical Character Recognition

K.Mahesh , S.FEROZ SHAH AHMED

» doi: https://jcdponline.org/.2023.v14.i10.pp01-11

Abstract

The vehicle's license plate number can be read using a picture processing technique called automatic number plate recognition (ANPR). The goal is to create practical car number plate-based automated approved car recognition. This method is used to monitor and regulate access to prohibited areas, such as military bases or the vicinity of important government buildings like the House of Representatives or the Supreme Court. The newly created device can identify the car and then take a picture of it. Image segmentation is used to isolate the license plate area in a photograph. The characters are recognized using an optical character recognition method. Information like the vehicle's proprietor, registry location, address, etc. can then be gleaned from a database comparison of the resulting data. Mat lab is used for both development and simulation, and real-world images are used to evaluate the system's efficacy. Using real-world pictures, the created system is able to dete