License Plate Localization Program

I am currently developing a license plate localization program implemented in MATLAB. The program currently employs image processing techniques such as edge detection, color segmentation, and morphological operations to identify license plate regions in vehicle images. However, the localization accuracy needs significant improvement, particularly in handling varying lighting conditions and complex backgrounds. Key implemented functions include: - Preprocessing with Gaussian filtering and contrast enhancement - Candidate region extraction using Sobel edge detection - Plate verification through aspect ratio analysis and texture features I would greatly appreciate suggestions from experienced developers on improving the algorithm's robustness, potentially through machine learning approaches or advanced computer vision techniques. Your expertise in optimizing feature extraction parameters or implementing more sophisticated segmentation methods would be invaluable for enhancing the program's performance. Thank you for your guidance!