Automatic Ontario license plate recognition using local normalization and intelligent character classification

The purpose of this paper is to introduce a robust method to address the problem of license plate recognition of Ontario on the basis of an illumination compensation technique and intelligent character recognition algorithm. To foster our aim, we firstly frame the input video from into stream of images the database. We then apply our pre-processing and local normalization algorithms to remove the noise and variance of lighting conditions. The image registration is utilized for the plate segmentation and feature construction. The improved cross correlation and D-Isomap analysis are used separately for final stage in character recognition. The experimental results demonstrate a significant performance improvement achieved by the proposed methods.