MATLAB License Plate Recognition Code Implementation

Resource Overview

Automated image reading with preprocessing pipeline including image enhancement, RGB-to-gray conversion, linear grayscale transformation, median filtering, edge detection, morphological operations (dilation/erosion), blue pixel extraction, and final digit segmentation from license plates.

Detailed Documentation

This document details an image processing pipeline for license plate digit extraction using MATLAB. The implementation involves the following key steps:

- Automated image reading using imread() function with path handling

- Image enhancement through histogram equalization or contrast adjustment algorithms

- RGB-to-grayscale conversion employing rgb2gray() function or luminance calculation

- Linear grayscale transformation using imadjust() for optimal intensity distribution

- Median filtering with medfilt2() for noise reduction while preserving edges

- Edge detection via Canny or Sobel operators using edge() function

- Morphological operations (dilation/erosion) with strel() and imdilate()/imerode() for shape refinement

- Blue pixel extraction through color thresholding in HSV/YCbCr color space

The pipeline efficiently processes vehicle images to isolate license plate regions and extract alphanumeric characters using connected component analysis and OCR techniques. These processing steps enable robust digit recognition suitable for various lighting conditions and plate orientations.