AUTOMATIC NUMBER PLATE RECOGNITION AND ITS FPGA IMPLEMENTATION

Abstract

This paper reveals about the design and development of automatic number plate recognition [ANPR]. Since it is simpler and
faster than the traditional system, it has all the potential to replace the existing system. In this system we are going to work on the
video. Video captured by ANPR camera and processed using dynamic image processing technique. After that edge detection and
template matching is done. Finally result is obtained in ASCII character which will be converted in alphanumeric character
using MAT LAB. Number plate localization stage is very important to identify the license plate number in ANPR system. This
system provides very low complexity. Also provide number plate detection rate is high by using canny edge detection algorithm.
The proposed architecture has been successfully implemented and tested using Model-Sim 6 and Field Programmable Gate
Array (FPGA) Altera Cyclone IV family development board. The proposed architecture will be implemented as a real time
application for automated toll collection. It will be saves users valuable time by reducing the queue length in front of the toll
counter.