Horizontal Localization of License Plates Using Horizontal and Vertical Projection Images

In the method described, we can achieve horizontal localization of license plates by analyzing the horizontal and vertical projection images derived from the original input image. This approach enables more accurate determination of the license plate's position, providing a solid foundation for subsequent processing and recognition tasks. Through the analysis of horizontal and vertical projection histograms - which typically involve calculating pixel intensity sums along rows (horizontal projection) and columns (vertical projection) - we can effectively detect the license plate's boundaries and contours. The implementation typically involves creating projection profiles where peaks and valleys indicate potential plate regions, allowing us to determine both the position and dimensions of the license plate. This projection-based method significantly reduces localization errors and enhances the overall accuracy of license plate recognition systems. By employing algorithms that threshold projection data and identify characteristic plate patterns in the projection curves, we can reliably achieve horizontal orientation localization of license plates, thereby delivering superior results for downstream processing and recognition stages.