Toll Plazza Management System Using Text Detection and Text Recognization Techniques

Abstract

In our day to day life, we pay certain amount of tax through toll plaza to the government. The toll gates are mostly found on national highways and bridges etc., and we pay standing over a queue in the form of cash, although, the mobility of vehicles gets interrupted by this method which takes longer travel time, more consumption of fuel and also pollution level get increased in that region, instead of that the method commonly used by industries and in advanced countries is the Electronic Toll Collection System. Electronic toll collection system is the technology that enables the automatic electronic toll collection from the prepaid account registered on the name of vehicle owner, determining whether the vehicle is registered or not and informs the toll authorities avoiding toll violations. Over last decades, electronic toll collection system has been implemented in real time. Toll Tax Management System is a web based application that can provide all the information related to toll plazas and the passenger checks in either online and pays the amount, then he/she will be provided by a receipt. With this receipt he/she can leave the toll booth without waiting for any verification call. The aim of our project is to design a system, which automatically identifies an approaching vehicles and record vehicles number and time. If the vehicle belongs to the authorized person, it automatically opens the toll gate and a predetermined amount is automatically deducted from its account. This translates to reduced Traffic congestion at toll plazas and helps in lower fuel consumption. This is very important advantage of this system. In this paper, we can design system to extract the license numbers from vehicle plate automatically using image processing techniques. And match with database automatically and generate the bill without any delay.