Vehicle License Plate Number Recognition System

During last semester's digital image processing course project, we successfully implemented a vehicle license plate number recognition system. The implementation involved fundamental image processing techniques including grayscale conversion, edge detection using algorithms like Sobel or Canny operators, and character segmentation through projection-based methods. Although we achieved a functional program that can process license plate images, we identified several areas for improvement. For instance, implementing more sophisticated algorithms such as convolutional neural networks (CNN) or support vector machines (SVM) could significantly enhance recognition accuracy. Additional features could be integrated, such as color detection algorithms for identifying plate colors using HSV color space conversion and thresholding techniques. Furthermore, the system could be extended through API integration with other applications, potentially using RESTful services for real-time vehicle identification in parking management or traffic monitoring systems. While we have established a working foundation for license plate recognition, substantial opportunities remain for algorithmic optimization and feature expansion to better serve practical applications in daily life.