Vehicular License Plate Localization Using Principal Component Analysis

Abstract

The need of vehicular license plate recognition system (VLPR) has arisen based on the need to implement traffic control on transportation systems, since early 1970s. Since then, researchers are continuously proposing various approaches and solutions. One of the significant and challenging tasks is to localize the license plate of the moving car. Since the license plate standards are not strictly practiced in world, a large amount of variations are obtained like, size, location, type of font used, background and foreground colour, and so on. The principal component analysis (PCA) is one of the widely used and most successful techniques that have been used in image recognition and compression. In this paper, we propose a novel approach to identify the license plate using PCA. © 2017 IETE.