IRJET- Computerized Vehicle Number Plate Recognition and Fine Generation

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 3519
Computerized Vehicle Number Plate Recognition and Fine Generation
Sagar R.Sarawgi1, Mayuri B. Pakhare2, Ketaki D. Padhye3, Prof. Vikrant A. Agaskar4
1,2,3,4 Dept. of Computer Engineering, Vidyavardhini’s College of Engineering and Technology, Maharashtra, India.
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Abstract -This project is introduced for detection ofvehicle
number plate and generating fine for the same. It is based on
Image Processing. In this project an image of a vehiclenumber
plate is captured using an android applicationwhichisparked
in a no parking zone. After capturing the image this number
plate is detected using Edge detection algorithm. Once the
number plate is detected it then starts with character
recognition using K-nearest neighbor algorithm. Once the
characters are recognized it then compares with the database
of the server and match the found number with the number
present in the database. As the match is found it then send the
message to the vehicle owner with a specific amount of fine to
be paid. This project is done to elude the clerical work and
making the system digital and also diminishthehumanefforts.
Key Words: K-nearest neighbor, Image Processing,
Character Recognition, Edge Detection.
1. INTRODUCTION
India is a rapidly developing nation and growth can be
easily visible from various things. As the development is
occurring from the past few decades the needs and the way
of living is also been changing day by day. In order to
compete with the developed countries in respect to the way
of living we are accommodating various new things in our
life style like travelling in our personal vehiclesandavoiding
public transportation. But this development has resulted
congestion and traffic around the people. Apart from traffic
issues another complication that occurs to people is of
parking. In a developing nation there is lack of parking
spaces and people tends to park vehicles in a no parking
zone. In order to tackle the problem various technologies
have been introduced. One of thetechnologyiscomputerized
vehicle number plate identification and fine generation to
the vehicles parked in a no-parking zone.
Computerized vehicle number plate identification is an
analysis in computer vision, pattern identification, image
handling and artificial intelligence, is one of the most vital
feature of the intelligent transportation system of human
community in 21st century. Computerized vehicle number
plate identification includes four major segments: edge
detection, plate recognition, character recognition and
character extraction. [2] Once the number plate isidentified
a fine of a particular amount is generated and sent to the
respective vehicle owner in the form of a message.
2. RELATED WORK
Parking spaces in India have been a big problem from last
decade due to increasing population, and it will grow
exponentially until government finds a way to eradicate the
problem. Computerized number plate identificationandfine
generation provides an efficient way to the government to
solve this issue. In past there were many software and
technologies such as ANPR [2], LPR [1], Plate-Smart [3], etc.
These methods have their share of outcome. Usually when a
car is parked in a no-parking zone traffic officer used to
generate penalty to the vehicle owner through paper work,
so due to physical entry there are chances of committing
manual errors. So, to elude this blunder Computerized
Vehicle Number Plate Identification and fine generation
helps the traffic officer to generate a fine to the vehicle
owner. In this paper android application substitute the
physical work and make the system digital which ease the
work of government.
3. PROPOSED SYSTEM
Actual working and design of the proposed system,with
the help of flow diagram is described and explained in this
section. The system consists of two main modules:
1) Vehicle number plate identification.
2) Fine generation to the vehicle owner.
The first module consists of following steps:
 The user has to initially login into the android
application by providing the handset number.
 The server sent a One Time Password (OTP) to the
user through which one can login into the application.
 The user then clicks an image of a vehicle using an
android application and sending the image to the
server side for further processing.
 The server side conducts the processes such as edge
detection, plate recognition,characterrecognitionand
character extraction.
a) Edge detection and plate recognition:
Edge detection is an image processing ability for finding the
boundaries of objects within the picture. Various edge
detection algorithmsinclude Sobel,Canny,Robertsandfuzzy
logic methods. In this project edge detection and plate
recognition of vehicle is performed by using Canny
Algorithm.
b) Character Recognition and Extraction:
Once the plate is identified the next step is to identify the
characters within the plate. The algorithm for character
recognition and extraction is Optical Character Recognition
(OCR). There are various algorithms that can be performed
into an OCR. In this project character recognition and

extraction is executed using K-nearest neighbor (KNN)
algorithm.
The second module consist of the following steps:
1) Once the above steps are completed then it checks
the database for the extracted number.
2) From the database as the match is found it sent a
particular amount of fine message to the vehicle owner.
3) The message is sent to the owner by using a GSM
SIM 800.
4) If the match is not found from the database then it
displays a message “Unknown vehicle detected”.
Figure 1: shows the flow diagram of the proposed system,
following operations are to be performed.
4. RESULTS
In the previous system there was only one main unit
which use to only detect the number plate and then extract
the number from it. In the present system there are two
main units. In first unit the image iscaptured of a vehicleand
is sent to the server side and plate identification is done.The
second unit checks the database and finds the match and
then sent fine message to the vehicle owner.
Following are some screenshots of the system:
Figure 2: shows the Login page for user. The user can log
into the application by providing required credentials.
Figure 3: Shows the OTP page. The user has to enter the
OTP received on the handset and verify it.

Figure 4: Shows the two options from where the user can
upload the image to the server.
Figure 5: Shows the image is successfully sent to the
server side.
Figure 6: Shows the database of vehicles and its owner
from which the match is to be performed.
Figure 7: Shows the database where fine updating is done.
Figure 8: Shows a fine message is sent to the vehicle owner.
5. CONCLUSION
In detecting security hazards, the Computerized Number
Plate Identification and Fine Generation System plays an
important role. In this system the server receivesthevehicle
number plate. The system uses stream of image processing
methods for distinguishing the vehicle from the database
stored in the PC. If a high-resolution camera is used then the

speed of the system and robustness is increased. The
probability of detecting and identifying the vehicle number
plate is defined using statistical research. Once a number
detection and character identificationprocessiscompletedit
will then check the obtained vehicle number with the
database it is available with. It then extracts the contact
number and generate a fine message to the vehicle owner.
This will help to make the process of generating fine more
fast and easy. The system is capable to reduce a lot of human
efforts and paper work.
ACKNOWLEDGEMENT
We would like to express a deep sense of gratitude
towards our HOD and guide Computer Engineering
Department for their constant encouragement and valuable
suggestions. The work that we are able to present ispossible
because of their timely guidance. We are also grateful to
teaching staff of Computer Engineering Department who
lend their helping hands in providing continuous support.
REFERENCES
1) Aruna Bajpai, “A Survey on Automatic Vehicle Number
Plate Detection System”, Mar-Apr-2017, IJCST
2) Aniruddh Puranic, Deepak K. T, Umadevi V. “Vehicle
Number Plate Recognition System: A literature Review
and Implementation Using Template Matching”, Jan-
2016, IJCA.
3) Anand Sumatilal Jain, Jayshree M. Kundargi, “Automatic
Number Plate Recognition Using Artificial Neural
Network”, July-2015, IRJET.
4) Muhammad Tahir Qadri, Muhammad Asif, “Automatic
Number Plate Recognition System for Vehicle
Identification Using Optical Character Recognition”,
2009, International Conference on Education
Technology and Computer.
5) D.Renuka Devi, D. Kanagapushpavalli “Automatic
License Plate Recognition”, March-2012, IEEE explore.

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