Car Number Plate Recognition Using Image Processing

Abstract: The increasing number of vehicles has created challenges in traffic monitoring, law enforcement, and vehicle management. Manual identification of vehicle license plates is time consuming, prone to errors, and inefficient, especially in high-traffic areas. This project presents an Automatic Car Number Plate Recognition System that utilizes image processing and artificial intelligence techniques to detect and recognize vehicle registration numbers automatically. The system captures images or video frames of vehicles, preprocesses them to reduce noise and enhance relevant features, and identifies the license plate region using advanced detection algorithms. The alphanumeric characters on the plate are then segmented and recognized using Optical Character Recognition (OCR). The processed results are displayed or stored for further use in applications such as traffic monitoring, toll collection, parking management, and security surveillance. The proposed system is designed to operate in real-time with high accuracy, adaptability to different lighting conditions, and robustness against plate variations. By automating vehicle identification, it reduces human intervention, improves efficiency, and contributes to safer and smarter traffic management systems.