A SINGLE NEURAL NETWORK FOR MIXED STYLE LICENSE PLATE DETECTION

The goal is to create and put into use a reliable vehicle identification system that uses the licence plate to identify the vehicle. The created system takes a picture of the front of the car, finds the licence plate, and then reads the plate. Using image processing, the automobile licence plate is retrieved from the image. Character recognition is accomplished via optical character recognition (OCR). The system is created with OpenCV, and numerous images are used to test how well it performs. It has been noted that the system built detects and recognises the car licence plate successfully.Utilising the Python programming language, to recognise licence plate numbers. For this project, OpenCV will be used to recognise the licence plate numbers. and To extract the characters and numbers from the plate, Python Pytesseract will be used We’ll create a Python application that can read licence plates automatically. the creation of an optical character recognition (OCR)-based intelligent vehicle identification system for use with intelligent transportation systems. The SPANS system uses computer vision algorithms to determine whether or not the parking spaces are open. The suggested system uses the SPANS captures images of parking spaces and recognises licence plate numbers of cars passing through the lot as well as those parked there.