Automated Vehicle License/Number Plate Identification – Conversion from Image to Text using Deep Learning

Automated Vehicle License Plate Recognition (VLPR) systems have become a cornerstone in the development of intelligent transportation infrastructures. These systems enable a range of applications, including real-time traffic monitoring, automated toll systems, and law enforcement activities, by facilitating accurate vehicle identification. This paper proposes a comprehensive deep learning-based solution that combines advanced object detection models and Optical Character Recognition (OCR) technologies to detect and read vehicle license plates directly from images. The integration of YOLOv5 for plate detection and Tesseract OCR for character recognition creates a reliable and efficient pipeline for license plate identification. Experimental evaluations conducted on a diverse dataset highlight the robustness and high accuracy of the proposed method across various environmental conditions, including different lighting and occlusion scenarios.