Novel Licence Plate Extraction with Character Recognition

Abstract

This paper proposes an algorithm that automatically reads license plate from videos that has taken from personal devices. Commonly used license plate reader in toll payment or road control system, video from personal devices usually has more variation in viewing angle, resolution, and shutter speed and so on. This work read single frame from video first, then extract the license plate by detecting high-density vertical edge areas and filtered by color and boundary features. Then the pre-processing step automatically correct the rotation of the image, remove the background noise and segment the character portion of the license plate. Lastly, this algorithm recognizes plate with template matching and filters the peaks by peak intensity and coordinates. Based on these, videos with multiple frames can improve the overall accuracy and reliability.