Vehicle License Plate Extraction and Character Segmentation

This project focuses on developing a comprehensive license plate recognition system, specifically targeting license plate extraction and character segmentation. By implementing vertical projection algorithms, we can accurately extract license plates from vehicle images and segment individual characters within the detected plates. The vertical projection method works by analyzing the histogram of vertical pixel distributions to identify character boundaries based on regions with minimal pixel density. This technology has broad applications in traffic management systems, parking lot automation, vehicle tracking solutions, and law enforcement applications. Through extensive research and experimental optimization, we aim to enhance the algorithm's accuracy and efficiency by incorporating image preprocessing techniques, adaptive thresholding, and morphological operations. Additionally, we plan to explore extended functionalities such as license plate color recognition, vehicle type classification, and real-time processing capabilities. We believe this project will significantly contribute to the advancement of license plate recognition technology while providing substantial convenience and security benefits to society.