ANPR Based Toll Tax Collection System

Automatic Number Plate Recognition (ANPR) is a crucial technology for toll tax collection systems as it enables efficient and automated license plate recognition. In this paper, we propose a machine learning-based ANPR system developed using TensorFlow, OpenCV, and EasyOCR. We trained our model on a dataset of 345 car images along with their corresponding XML files containing license plate information. The trained model was integrated into a real-time image-capturing system to extract license plate numbers for toll tax collection. Our system achieved high accuracy and efficiency in recognizing license plates, with promising results for real-world applications.