Automatic tollbooth credit system using vehicle detection and number identification

Abstract

A computer vision based toll booth credit system is proposed using vehicle (object tracking) detection and Number (text recognition) identification. Set of vehicles database loadedin a predetermine network and support vector machine (SVM) classifier identify the vehicle. Name plate details recognize using optical character recognition (OCR) and corresponding details produce inside the toking scheme with minimal ”imbinarize” global method. Additionally Histogram of Oriented Gradient (HOG) for partitioning the data with extracted feature. The proposed scheme shows the excellent automatic credit system than any-other existing scheme.