Abstract :

License Plate Recognition is an important application in intelligent transportation and traffic monitoring systems. This project focuses on automatic detection and recognition of vehicle number plates from digital images. The system captures vehicle images and processes them using image processing techniques. Preprocessing is done to reduce noise and improve image quality for better plate detection. The number plate area is localized based on shape and edge information. Character segmentation is performed to separate individual characters from the plate. Optical character recognition is then used to identify the characters. The recognized license number is converted into text format for further use. The proposed system reduces manual effort in vehicle identification. It can be used in parking management, toll collection, and traffic surveillance. Experimental results show that the system works effectively under normal lighting conditions. The project demonstrates a cost-effective an