An intelligent framework of illumination effects elimination for Car License Plate character segmentation

Abstract

In computer vision, Automatic Car License Plate Recognition is popular research area. Many methods for Car License Plate Recognition has been developed, however, a car license plate which is degraded by illumination or dirt effects may yield false recognition because degradation elements interfere character segmentation. Although many researches for reducing degradation effects on a car license plate are established, research for degradation of various illumination effects is insufficient. This paper introduces an intelligent framework that outlines character of car license plate which is degraded by various illumination effects. Our framework shows robustness for outlining character of car license plate image under various lightning or illumination effects.