A PROJECT REPORT
Submitted by
K SIDDHARTH(11308106047)
K SIVA TEJA(11308106056)
D S KIRAN(11308106051)
in partial fulfillment for the award of the degree
of
BACHELOR OF ENGINEERING
In
ELECTRONICS AND COMMUNICATION ENGINEERING
RMK ENGINEERING COLLEGE
ANNA UNIVERSITY: CHENNAI 600 025
APRIL 2012
ACKNOWLEDGEMENT
We convey our thanks to our chairman Mr. R. S. Munirathnam and vice – chairman Mr. R. M. Kishore who took keen interest on us and encouraged throughout the course of study and for their kind attention and valuable suggestions offered to us throughout the course of study.
We express our sincere thanks to our principal for his whole hearted and kind co-operation.
We are highly thankful to our head of the department Dr. R Siva Kumar for rendering us all facilities for undertaking the project.
We are also thankful to our internal guide Prof. BLESSLIN SHEEBA T for her extended support and guidance in the successful outcome of this project.
We extend our thanks to all our faculties of the department of electronics and communication, who were behind us throughout the course of study.
ABSTRACT
Automatic License Plate Recognition (LPR) is a real time embedded system which identifies the characters directly from the image of the license plate. LPR systems are very useful to law enforcement agencies as the need for radio frequency identification tags and similar equipments are minimized. Since number plate guidelines are not strictly practiced everywhere, it often becomes difficult to correctly identify the non-standard number plate characters. The non-adherence of the system to any particular country-specific standard & fonts effectively means that this system can be used in many different countries - a
References: 1. Ward Nicholson, “License Plate Fonts of the Western World”, available:http://www.leewardpro.com/articles/licplatefonts/licplate-fonts-intro.html 2. J.A.G. Nijhuis, M.H ter Brugge, and K.A. Helmolt, “Car License Plate recognition with network and fuzzy logic”, in Proc. Of IEEE International Conference on Neural Networks., volume 5, pp 2232-2236, Dec 1995 3. Vehicle Registration Plates of India. Available: http://en.wikipedia.org/wiki/Vehicle_registration_plates_of_India 4. Parking and Traffic Technologies Ltd, Smartreg ANPR, Available: http://www.parkingandtraffic.co.uk/ANPR/smartreganpr 5. Shyang-Lih Chang, Li Shein Chen, Yun-Chung Chung, and Sei- Wan Chen, “ Automatic license plate recognition” IEEE Transaction Intelligent Transportation System, 5:42-53,2004