MATLAB Implementation of License Plate Location and Recognition

This implementation utilizes MATLAB for license plate location and recognition by analyzing color information within images. The process involves extracting license plate regions through image processing algorithms and leveraging color features to precisely determine plate positions. Key functions like rgb2hsv() may be used to convert RGB images to HSV color space for more robust color segmentation. Subsequently, character recognition algorithms such as optical character recognition (OCR) techniques are applied to identify characters on the license plate. This approach demonstrates remarkable effectiveness, achieving high accuracy rates through morphological operations (using imopen() and imclose()) and region properties analysis (regionprops() function). The method proves highly efficient for license plate recognition tasks, with implementation involving edge detection (edge() function), template matching, or machine learning-based classification for character identification.