License Plate Recognition Program with Implementation Details

This research paper presents a complete license plate recognition program that I developed independently, serving as valuable reference material for students working on graduation projects. The paper provides detailed explanations of the program's design and implementation process, covering critical aspects such as algorithm selection (including image preprocessing techniques like Gaussian filtering and edge detection), data acquisition and processing methods, image recognition approaches (utilizing template matching or machine learning classification), and pattern matching strategies. The implementation incorporates key functions for image segmentation, character isolation using vertical/horizontal projection methods, and optical character recognition (OCR) integration. Experimental results and performance testing demonstrate the system's accuracy in various lighting conditions and processing efficiency metrics. Through this paper, readers will gain understanding of fundamental license plate recognition principles, practical application scenarios, and methodologies for applying related knowledge in graduation project research and development. I hope this work proves beneficial for your academic endeavors!