Automatic Number Plate Detection and Recognition
摘要
The Number Plate Detection System utilizes different techniques like image processing and different deep learning techniques in order to detect the number plate of a vehicle and retrieve its information. From the images captured, the innovative and useful system extracts the number plate. The YOLO (You Only Look Once) object identification model is used by the system to locate the license plate in the picture and extract relevant features, such as the number. To effectively detect the number plate and provide system robustness, the suggested system integrates many image processing, computer vision, and machine learning techniques, such as color detection, grayscale conversion, text recognition, and orientation correction.