LICENSE PLATE NUMBER RECOGNITION USING MORPHOLOGICAL EDGE DETECTION WITH OPTICAL CHARACTER RECOGNITION

Abstract

The License Plate Number Recognition (LPNR) system plays a vital role in security
management and traffic control management, such as parking enforcement, surveillance
operations and recovery of stolen vehicles. In images and videos, License plate number
recognition (LPR) algorithms are composed of the following three steps: 1) license plate
extraction 2) segmentation of plate chracters and 3) character recognition. Due to diversity of
plate formats and non-uniform illumination condition during image acquisition, this task is quite
challenging. In order to reduce the issues such as processing time and recognition rate, in this
paper, morphology based edge detection is proposed for the detection of edges. Also, an optical
character recognition method is used for recognizing the characters. . The process involves
image processing, grayscale conversion, image enhancements and so on.