MATLAB Implementation for License Plate Localization

License plate localization, character segmentation, and recognition constitute a crucial program requiring multiple technical domains. This implementation begins with image preprocessing steps such as noise reduction and contrast enhancement using MATLAB's Image Processing Toolbox functions like imfilter and histeq. The plate localization phase typically employs edge detection algorithms (e.g., Canny or Sobel operators) combined with morphological operations (imdilate, imerode) to identify rectangular regions. Character segmentation utilizes vertical projection analysis with peak detection algorithms to isolate individual characters, while recognition employs template matching or machine learning approaches like SVM classifiers through Computer Vision Toolbox functions. This integrated solution demonstrates practical applications in traffic management systems by combining computer vision techniques, pattern recognition algorithms, and digital image processing methods. Key MATLAB functions involved include regionprops for bounding box analysis, ocr for optical character recognition, and bwareaopen for noise removal during the segmentation process.