Vertical-Edge-Detection-Algoritham Based Car-License-Plate Detection

Abstract

Automatic number plate recognition, Car License Plate Detection (CLPD) is a mass surveillance method that uses character recognition on images to read number plates. Existing system focused on character segmentation (CS) and License plate detection in the license plate (LP) recognition system, in which low contrast and dynamic-range problems occurs. In this paper we present a robust car license plate detection method using vertical edge detection algorithm (VEDA). To extract number plate, first image binarization technique is  applied. Then for reorganization of LP data, system starts character identification process which is based on VEDA and Sobel Edge Detector. After character identification process, results of VEDA are compared with Sobel Edge operator in terms of accuracy, Algorithm complexity, and processing time. Proposed method shows better accuracy as compare to Sobel operator In the proposed system we are also identifies the vehicle status.