Auto Number Plate Recognition

The development of an Auto Number Plate Recognition (ANPR) system using Yolo version 5 and ocr is shown in this work. Vehicle License Plate Recognition (VLPR) is a type of optical character recognition (OCR) that allows computer systems to read the registration numbers of vehicles from digital images for various applications like traffic control, security, access control to restricted areas, vehicle tracking, tracing of stolen vehicles, and identifying dangerous and reckless drivers on the road. Vehicle license plate detection and License Plate character recognition are the two main components of this system. There are various obstacles in vehicle license plate detection, such as complicated plate backgrounds, lighting inconsistencies, vehicle motion, and distance variations, for which edge detection analysis was investigated. 4165 images from a dataset were used in this project. Some license plates had legible text, while others had blurry characters and unclean spots. Yolo version 5 detected the plates with a precision of 0.996. The accuracy of character feature extraction and plate recognition was determined. The plates with the least amount of blur and discoloration were the most reliably retrieved and recognized, although the others yielded good results as well.