© June 2017 | IJIRT | Volume 4 Issue 1 | ISSN: 2349-6002
IJIRT 144578 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 46
Fake Note Detection System
Kanchan B.Zende1, Varsharani Kokare2, Sunetra Pise3 and P. S. Togrikar4
1, 2, 3 Student, Electronics and Telecommunication, S.B.Patil College of Engineering Vangali, Indapur,
Maharashtra, India 4Assistant Professor, Electronics and Telecommunication, S.B.Patil College of Engineering Vangali,
Indapur, Maharashtra, India
Abstract—It is the major problem for everyone. India is
a developing country, Production and printing of Fake
notes of Rs.100 are degrading economic growth of our
country.In this present scenario, we are designing a
MATLAB based system which identifies Fake note from
the genuine one. For this purpose here we are using
MATLAB software . . The characteristics extraction is
performed on the image of the currency and it is
compared with the characteristics of the genuine
currency. The currency will be verified by using image
processing techniques. The approach consists of a
number of components including image processing, edge
detection, image segmentation and characteristic
extraction and comparing images. The desired results
shall verify with MATLAB soft-ware.
Index Terms—Currency, camera, software detector
I. INTRODUCTION
Fake note detection system is developed for
recognizing fake note from the genuine. The only
solution that is presently available for common man to
detect counterfeit currency is Fake Note Detector
Machine. This machine is mostly available only in
banks which is not reachable every time by average
citizen. . All these scenarios need a kind of solution for
common people to judge a forged bank note and to
refrain our currency from losing its value. MATLAB
is the computational tool of choice for research,
development and analysis. The image formats
supported by MATLAB are JPEG, PCX, TIFF, PNG
etc. Characteristic extraction of images is challenging
work in digital image processing. It involves
extraction of visible and some invisible features of
Indian currency notes. A good characteristic extraction
scheme should maintain and enhance those
characteristics of the input data which make distinct
pattern classes separate from each other.
1.1 Problem Statement
Counterfeit notes are one of the most biggest problem
occurring in cash transactions. For country like India,it
is become big hurdle .Because of the advances in
printing ,scanning technologies it is easily possible for
a person to print fake notes with use of latest hardware
tools
1.2 Literature Survey
[1] - Indian is a developing country, Production and
printing of Fake .In this article, recognition of paper
currency with the help of digital image processing
techniques is described. Around eight characteristics
of Indian paper currency is selected for counterfeit
detection. The identification marks, optical variable
link, see through register and currency color code
decides the currency recognition. The security threads,
water mark, Latent image and micro-lettering features
are used for currency verification. The characteristics
extraction is performed on the image of the currency
and it is compared with the characteristics of the
genuine currency.
[2] The expansion of modern banking services
necessitates the needs for automatic currency
recognition and authentication system, thus
encouraging many researchers to develop high
accuracy, reliable and high processing speed
techniques. To detect the authenticity of currency note
there are two methods i.e. first line inspection method
and second line inspection method. First line
inspection method includes varied density
watermarks, ultraviolet fluorescence, intaglio printing,
micro text and hologram while the second line
inspection methods include isocheck/ isogram, fiber
based certificates of authenticity, color and feature
analysis.
© June 2017 | IJIRT | Volume 4 Issue 1 | ISSN: 2349-6002
IJIRT 144578 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 47
[3] The currency notes are provided with few special
identification marks only for the blind people so that
they may easily recognize the denomination correctly.
Every currency note has its denomination engraved at
the top right end which is sensitive to touch, but this
mark fades away after the currency note goes in
circulation for some time. This impaired people to
correctly determine the denomination of the currency
note.
A currency recognition system for visually impaired
has been developed in this paper. It uses a currency
localization technique to extract the currency note
from a color image. The technique requires feature
based currency note localization. This is applied using
the Image Processing toolbox available in Mat lab.
[4] Money is an integral part of our needs so its
genuinely is important. Circulation of fake money can
disturb the economic growth process of our country.
Circulation of fake money causes much inconvenience
to people. Many people are still not aware of how to
detect fake notes and the measures which are to be
taken into consideration. In this paper we are focusing
on an advanced mobile based application that is used
to identify fake money. Application of Counterfeit is
to empower the common man with an easily available
device to help him detect fake notes. This application
can be used on day-to-day basis by us for identifying
fraudulent currency notes then and there. Unlike
existing money detectors in banks, Counterfeit:
Currency Detector will provide user friendly and
portable application to find forged banknotes.
II. BLOCK DIAGRAM
Fig.1: System Block diagram
Description
This application is user-friendly and can be used on
day-to-day basis. For using this application, user need
to take a photograph of the required note holding it
against sufficient light. This light could be any light
like sunrays, tube light or bulb which helps the camera
of mobile phone to detect the different features of the
note. Then the software examines the note and gives
the appropriate result to the user about the authenticity
of the note.
2.1Currency:-
Money is an integral part of our needs so its genulity
is important. Circulation of fake money can disturb the
economic growth process of our country. Circulation
of fake money causes much inconvenience to people.
Many people are still not aware of how to detect fake
notes and the measures which are to be consideration.
just needs to take an image of the note with help of
camera.
Specification:-
Value- 100 rs
Width- 157 mm
Height- 73mm
Design-mahatma Gandhi
2.2Camera:-
User need to take a photograph of the required note
holding it against sufficient light. This light could be
any light like sunrays, tube light or bulb which helps
the camera of mobile phone.
Specification:-
Megapixels-8megapixles rear camera with LED flash
Resolution-1280x768 pixels
2.3Currency detector software:-
This application has mainly Watermark Detection,
Security Thread Detection, checking currency series
number, identification mark and sees through register
mechanism which actually detects the trueness of the
currency. The GUI of this application is user-friendly
to check the currency. User is completely unaware of
the complexity of counterfeit currency. Finally the
currency detector software provides the result to the
user of the required currency based on the comparison
done between the details of genuine note stored in the
database and the tested note.
Specification-
Get base amount-convert an amount in current display
currency to base currency (US$).
© June 2017 | IJIRT | Volume 4 Issue 1 | ISSN: 2349-6002
IJIRT 144578 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 48
Get currencies()- return all currencies supported by
this server.
Get currency (string)-Get currency for specified ISO
mode.
Get display amount()-convert a base amount to current
display currency.
All this description can be design in flow of operation.
Fig -3: Flow of Operation
Result
Fake Note
Real note:
III. CONCLUSIONS
Detecting the fraud notes is need of common man
today. Henceforth, common people would not require
running to banks for checking a note. Also this is a
step towards reducing issues like inflation which
occurs due to Counterfeit currencies. This is a
MATLAB based system for automatic recognition of
security features of Indian currency. The low cost
system, using effective and efficient image
processing techniques and algorithms, provide
accurate and reliable results at good throughput as
shown by experimental results. The developed
algorithm works for Indian denomination 100.
Input Image
Image Preprosessing
Image Resize
Image Segmentation
(Feature cropping)
() Feature Extraction
Feature
Comparis
on With
Database
Database
Result
© June 2017 | IJIRT | Volume 4 Issue 1 | ISSN: 2349-6002
IJIRT 144578 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 49
REFERENCES
[1] Hassanpour,H., Yaseri, A. and Ardeshir G.:
“Feature extraction for paper currency
Recognition” In International Symposium on
Signal Processing and its Application (ISSPA)
Sharjah,
[2] R.C.Gonz alez and R.E.Woods, Digital Image
Processing,2nd ed.,Prentie Hall,2002
B.Manjunath and W.Ma,”texture features for
browsing and retrieval of image data,”IEEE
Trans.Pattern Anal
[3] Kuldeep Verma, et al.,”Indian Currency
Recognition Based On Texture Analysis”,
Institute of Technology, Nirma University,
Ahmedabad – 382481, 08-10 December, 2011
[4] Mriganka Gogoi, et al.,”Automatic Indian
Currency Denomination Recognition System
based onArtificial Neural Network”, 978-1-
4799-5991-4/15©2015 IEEE
[5] Suriya Singh, Shushman Choudhury, Kumar
Vishal and C.V. Jawahar,“Currency
Recognition on Mobile Phones”
[6] Megha Gupta, et al.,” Classification
Techniques Analysis”, Csio Chandigarh, India,
19-20 March2010
Biographies
[1] Miss. Kanchan Bhimrao Zende– Student,
Department of Electronic and
Telecommunication, S.B Patil, College of
Engineering ,Indapur, Maharashtra.
[2] Miss. Varsharani Kokare– Student,
Department of Electronics and
telecommunication, S.B. Patil, College of
Engineering, Indapur, Maharashtra.
[3] Prof. P.S.Togrikar-Faculty, Department of
Electronics and telecommunication, S.B. Patil,
College Of Engineering, Indapur, Maharashtra.