Automated License Plate Recognition System

This program, developed in MATLAB, implements automated license plate recognition through advanced image processing and pattern recognition algorithms. The system employs key techniques such as edge detection using Sobel or Canny operators, morphological operations for plate region extraction, and optical character recognition (OCR) for character identification. It achieves high-precision recognition of various license plate types including standard plates and new energy vehicle plates. The implementation includes preprocessing stages like image denoising through median filtering, illumination correction using histogram equalization, and character segmentation via connected component analysis. A user-friendly graphical interface facilitates parameter configuration through MATLAB's App Designer or GUIDE, allowing real-time result visualization. The robust architecture utilizes machine learning approaches for pattern classification, making it suitable for diverse applications including traffic management systems and parking lot automation. The code structure modularizes core functions including plate localization, character segmentation, and OCR validation for maintainable deployment.