Application of Mean-Shift Algorithm for License Plate Localization

Abstract

This paper discusses about localization of license plate from vehicle images using different methods. And main focus is on Mean Shift Algorithm which is a non parametric feature space analysis technique. It defines a window around each data points and shifts the center of the window to the mean of the data point though a Mean-Shift Vector till it converges and window shifts to the denser region. The other methods used are Crop Object, Morphological operations, Localize the object by thresholding and area of object. We also discuss how Mean-Shift algorithm is accurate enough and robust to be used in the same area. This includes the basic definition of the algorithm and mathematical equations.