MATLAB Code Implementation of License Plate Localization Algorithm

This article presents a MATLAB-based license plate localization algorithm implementation. By employing color segmentation techniques, we can achieve more precise localization of license plate positions. This technology proves particularly beneficial for researchers entering the computer vision field. During the algorithm implementation process, we will delve into MATLAB coding techniques and optimization strategies to enhance accuracy. The implementation typically involves several key steps: color space conversion (RGB to HSV/YCbCr), color thresholding, morphological operations for noise removal, and region property analysis for candidate region selection. We will also discuss common error sources in license plate localization and corresponding avoidance methods, such as handling lighting variations and dealing with complex backgrounds. The algorithm may utilize MATLAB functions like rgb2hsv for color conversion, imopen/imclose for morphological processing, and regionprops for bounding box analysis. Through this article, readers will gain deeper understanding of MATLAB-based license plate localization algorithms, providing solid foundation for further research and development in automotive vision systems.