The document discusses the license plate recognition (LPR) technique, which utilizes optical character recognition (OCR) to identify characters on license plates and compare them against a database. It outlines various functions used in the process, applications of LPR in automated systems such as toll booths and traffic signals, and references academic sources on the topic. It highlights the advantages and potential future of license plate recognition technology.

2. Introduction
 License Plate Recognition Technique is a process by
which the Characters in the license plate is recognized
using OCR.
 The recognized characters are then compared with the
database stored.

3. Flowchart of the Process

4. Functions used in Program
 rgb2gray
 Graythresh
 Bwareaopen
 Bwlabel
 Imresize
 fprintf

5. Optical Character Recognition

6. Advantages and Disadvantages

7. Applications

10. Future Scope
 Toll Booths- for automatic toll collection.
 Traffic signals- LPR for the cars breaking the traffic
signal.
 Automated Parking System

11. References
 Deepak Harjani, Mohita Jethwani, Nikita Keswaney , Sheba Jacob, “Automated
Parking Management System Using License Plate Recognition”, Nikita
Keswaney et al, Int.J.Computer Technology & Applications, Vol 4 (5),741-745,
last accessed during September, 2013.
 Afaz Uddin Ahmed, Taufiq Mahmud Masum , Mohammad Mahbubur
Rahman, “Design of an Automated Secure Garage System Using License Plate
Recognition Technique”, Published Online January 2014 in MECS
(http://www.mecs-press.org/)
 Vandini Sharma, Prakash C. Mathpal, Akanksha Kaushik, “Automatic license
plate recognition using optical character recognition and template matching
on yellow color license plate.”, International Journal of Innovative Research in
Science, Engineering and Technology (An ISO 3297: 2007 Certified
Organization) Vol. 3, Issue 5, May 2014,last accessed during May, 2014.
 Sneha G. Patel, “Vehicle License Plate Recognition Using Morphology and
Neural Network”, International Journal on Cybernetics & Informatics (IJCI)
Vol.2, No.1, February 2013, last accessed in February, 2013.

12. Thank You!