An Enhanced Projection Method for License Plate Character Segmentation

This source code implements an enhanced projection method for license plate character segmentation. Building upon traditional projection techniques, this approach performs comprehensive preprocessing and analysis of license plate images to achieve precise character isolation. The implementation includes key preprocessing stages such as image grayscale conversion, binarization, and edge detection algorithms to enhance image quality. The core segmentation algorithm utilizes improved vertical projection analysis with adaptive thresholding to identify character boundaries accurately. The method incorporates noise reduction techniques and handles varying character spacings through dynamic peak detection in the projection histogram. This enhanced projection method enables more reliable character extraction, providing a robust foundation for subsequent license plate recognition and optical character recognition (OCR) processes. With its practical implementation features including configurable parameters for different license plate formats, this approach shows significant potential for applications in automated license plate recognition systems and traffic safety technologies.