IRJET- Vehicle Number Plate Detection using Image Processing

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1
VEHICLE NUMBER PLATE DETECTION USING IMAGE PROCESSING
Abhay Singh1, Anand Kumar Gupta2, Anmol Singh3, Anuj Gupta4, Sherish Johri5
1, 2, 3,4UG Student, Department of IT, IMS Engineering College, Ghaziabad, India
5Assistant Prof., IMS Engineering College, Ghaziabad, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract – The main objective of this project is to reduce
the criminal activity like stolen vehicle,roadtrafficmonitoring
that involve use of motor vehicles. In this project we will be
processing the image of the vehicle such that the vehicle
number from the image will be extracted. Using thatextracted
image i.e. the vehicle number we will be comparing that
number from our database to check whether that vehicle
belongs to correct person or not and we will also be checking
the documents belongs to that vehicle are complete or not.
Using that detail, we will be giving challan if they are
suspected.
Key Words: VNPR, Optical character Recognition, Image
processing, Segmentation, Challan.
1.INTRODUCTION
To identify a vehicle there is a unique identification number
given to each vehicle i.e. vehicle plate number. Vehicle plate
number helps us to identify the vehicle uniquely.Ourproject
is based on same detecting the vehicle number from CCTV
i.e. closed-circuit television or using input image then taking
actions on the vehicle and their ownersif they are suspected
under any crime. In this project we will be extracting the
Number of vehicle from number plate using a technique
called vehicle number plate detection. In this technique we
will be performing several methods step by step to find the
vehicle number. Then using that vehicle number found we
will be comparing that number from our databaseandifthey
are found guilty or suspected for any reason then they will
have to give challan. In our technique a copy of challan will
be sent to their email id and their mobile number. Challan
can be issued for various reason like documentation not
complete or helmet not their or any issue. This technology
can be used 24/7 in Distribution centres, Hospitals, Schools,
Car parking, Highway toll collection, Boarders and even
those places where there are chances of more accident and
crime and even is those areas where there is more traffic.
2. METHODOLOGY USED
In this technology we will be working on CCTV footage or
input image given. The CCTV footage must be clear to extract
the Vehicle number from the image taken as Input. The
brightness and contrast must be clear and the number plate
must be in format according to given by Indian government.
The following methods is used in this technology: -
a) Image capturing from camera
b) RGB to Gray scale
c) Detect license plate from image
d) Character segmentation from number plate
e) Character recognition
f) Display vehicle number
g) Comparing Number with database
h) Challan if suspected
Figure 1:-Block Diagram
1.1 Image Capturing from Camera
In this method we will be capturing the image from CCTV
footage. The image which is captured is in RGB format. We
will be performing further methods on this RGB image only
using Technology Vehicle Number Plate Detection. The
function used to read image as input is given below: -
im = imread(imagefilename);
axes(handles.axes1);
imshow(im);

Figure 2:-Car Image
1.2 RGB to GRAY scale
In this method we will work on the image taken as the input
from the CCTV footage which is in RGB format. We will be
converting that image into gray scale using MATLAB.
Figure 3:-RGB to Gray Format
1.3 Detect License plate from image
In this method we will be working on the image which was
converted to gray scale from RGB format. We will detect the
number plate from the gray scale image using the MATLAB
function. We will be performing further more methods on
that number plate detected using the given function: -
numberplate = find_number_plate(im);
numpl = char(numberplate);
numpl = numpl';
Figure 4: - Number Plate Detected
1.4 Character segmentation from number plate
In this method we will be working on the image which is
extracted from the gray scale image i.e. the number plate
which is detected. We will divide each character of the
number plate which is being detected to find the number
from number plate. We will be performing further more
methods on the segmented image.
1.5 Character Recognition
In this method we will be working on the segmented image
of each character. We will detect each character using OCR
technique i.e. optical character recognition. Here each
character is recognized individually. Then those character
are combined to form a whole number that is present on the
number plate which is taken in the form of image.
1.6 Display Vehicle Number
After performing all the methods of vehicle number plate
detection using MATLAB. We will be displaying thatnumber
on the screen.
disp(numpl);
1.7 Comparing Vehicle Number from Database
In this method we will be working on the vehicle number
which is being saved in the notepad file. We will match the
vehicle number fromour database. If the numberplate is not
found in the database there is an option given to create that
vehicle number database. This option is only available to
admin. A sample code is given below: -
VehicleData = FetchDatabase ();
if iscell(VehicleData) % == 'No Data'
choice = questdlg('No Vehicle data Available in
Database.Would you like to create a new entry ?', ...
'Vehicle Databse Query Menu', ...
'Yes','No','Cancel');
1.8 Challan if Suspected
In this method we will create challan on the vehicle and
vehicle owner if they are found guilty for any reason. Challan
will be created on the basis of documentation if they are not
complete likeinsurance,PUCi.e.pollutionundercontrol,road
tax, or even if you not following driving rules likehelmet not
present, frontor backlight not present any fault will cause to
challan. The challan will be send to owner mobile number
and even to their email id. They have to submit the challan
within 7 days.

Figure 5: -Challan Generation
2.APPLICATIONS
 Traffic control: - This technology can be used to
control traffic in those areas where there are
chances of more crimes.
 Airport: - This technology can be used at airport
parking to reduce frauds.
 Tolling: -This technology can be used at tolling poll
to collect challan if anyone found guilty for not
following traffic rules.
 Reduce paper work: - This technology is more
advance as challan will be sent directly to owner’s
mobile number, email and a copy of it will be saved.
3.CONCLUSION
In this, a software is designed which detect the vehicle
number plate number using MATLAB. In this software we
have also included challan system as if the owner is found
guilty for breaking any of traffic rules then he/she will be
sent a challan information to their email and mobile number
and they have to pay the challan to within 7 days. There is
some condition for this software to work: -
 Vehicle plate should be white and according to rule
given by government of India.
 Image should be clear.
REFERENCES
[1] Dinesh Bhardwaj1, Sunil Mahajan2, “Review Paper
on Automated Number Plate Recognition Techniques”
International Journal of Emerging Research in Management
&Technology ISSN: 2278-9359 (Volume-4, Issue-5).
[2] Ms. Sushama H. Bailmare1, Prof. A.B. Gadicha2, “A
Review paper on Vehicle Number Plate (VNPR) Using
Improved Character Segmentation Method” International
Journal of Scientific and Research Publications, Volume 3,
Issue 12, December 2013 1 ISSN 2250-3153.
[3] Ragini Bhat1, Bijender Mehandia2, “Recognition of
Vehicle Number Plate Using Matlab” International Journalof
Innovative Research in Electrical, Electronics,
Instrumentation and Control Engineering Vol. 2, Issue 8,
August 2014.K. Elissa, “Title of paperifknown,”unpublished.
[4] Priti Rajvanshi, “Automatic Number Plate
Recognition- Approch for Detecting the Vehicle Number
Plate On-The-Go” National Conference on Cloud Computing
& Big Data.
[5] Aniruddh Puranic1, Deepak K. T., Umadevi V.,
“Vehicle Number Plate Recognition System: A Literature
Review and Implementation using Template Matching”
International Journal of Computer Applications (0975 –
8887) Volume 134 – No.1, January 2016.
[6] M. M. Shidore1, S. P. Narote2., “Number Plate
Recognition for Indian Vehicles”IJCSNSInternationalJournal
of Computer Science and Network Security, VOL.11 No.2,
Feb. 2011.
[7] Hamed Saghaei, “Proposal for Automatic License
and Number Plate Recognition System for Vehicle
Identification” 2016 1st International Conference on New
Research Achievements in Electrical and Computer
Engineering.
[8] Sarbjit Kaur1, Sukhvir Kaur2 “AnEfficientApproach
for Automatic Number Plate Recognition System under
Image Processing” International Journal of Advanced
Research in Computer Science Volume 5, No. 6, July-August
2014.
[9] Chirag Patel 1, Dipti Shah 2, Atul Patel 3 “Automatic
Number Plate Recognition System (ANPR): A Survey ”
International Journal of Computer Applications (0975 –
8887) Volume 69– No.9, May 2013.

IRJET- Vehicle Number Plate Detection using Image Processing

More Related Content

What's hot (19)

Similar to IRJET- Vehicle Number Plate Detection using Image Processing (20)

More from IRJET Journal (20)

Recently uploaded (20)

IRJET- Vehicle Number Plate Detection using Image Processing