Still Image Recognition Of License Plate System

This project will focus on the design of algorithms used for extracting the license plate from a single image, isolating the characters of the plate and identifying the plate region. This section presents a method for extracting license plates based on the Hough t rans form . The algorithms were developed using a set o f t r a i n i n g i m a g e s , a n d t e s t e d o n images taken under varying conditions. License plate recognition (LPR) algorithms in images are generally composed of the following three processing steps: 1) extraction of a license plate region; 2) segmentation of the plate region characters; and 3) recognition of each character. This task is quite challenging due to the diversity of plate formats and the non uniform outdoor illumination conditions during image acquisition. In this paper present morphological operation and various filters in license plates. LPR is the hot research topic in Intelligent Transportation Systems. A license plate is an important phase of vehicle license plate recognition in intelligent transport system. In our proposed system generally composed three morphological operation and three various filters. The proposed algorithm consists of some morphological operations are Dilation, Closing and Threshold. In this next stage various filters are Sobel filter, Smoothing filter, Laplace filter. In this various filter help to comparing license plates.