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ANDROID APPLICATION TO DETECT FAKE CURRENCY

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Darshan yadav.L

on 28 October 2013

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Transcript of ANDROID APPLICATION TO DETECT FAKE CURRENCY

ANDROID APPLICATION TO DETECT FAKE CURRENCY
INTRODUCTION
Fake currency is one of the reasons for the economic loss in many countries, including India. We need to find out some solution to find out the genuineness of the currency. So that the common people will saved from the loss what has been happening to them without their notice, and economic loss for India can be avoided for certain extend.

If the currency detection technology is embedded into mobile phones, a large proportion of the population that relies only on cash transactions will get a highly useful feature on their phones that will allow them to check currency notes before exchanging them for groceries, farming supplies and more.

As mobile is available at an affordable price, getting an application on the phone and using it will be helpful in detection of fake currency and also it is beneficial to the
Common people and society and it will reduce the economic loss for government for certain extent.

LITERATURE SURVEY
There are many machines available to detect the fake currency, such as currency validator and more [1]. The process involves checking the currency that has been inserted into the machine, by performing various tests, determining if the currency is fake.

There exists a proposed concept called “Money to ATM - Fake Currency Detection” [2]. Basic technology used is as follows, processing the discrete, analog and mixed signals. Taking 1-D signals from optical, UV, Infrared and Laser sensors. Decision making whether the currency is genuine or not.
The genuineness of money is decided by the fact whether the money has security thread or not.

Another proposed concept called - An Automated Recognition of Fake currency notes in Machine vision[3]. The concept is based on automated recognition of notes with the help of feature extraction, classification based in SVM (support vector machine), and neural nets.

Expected outcome
If the currency is genuine or fake-
An appropriate message will be displayed along with reason.


Authors-

Authors-
KRISHNAGOUDA H PATIL
DARSHAN YADAV.L
KARTHIK.N.C
VINAY.N

Advisors-
RAJASIMHA MAKARAM, HOD, Dept. of ISE.
ASHWINI.N, Asst.prof Dept. of ISE.
Dr.THUNGAMANI, Asst.prof Dept. of ISE.

METHODOLOGY
The steps involved in development are-

Identify the properties (features) of original currency notes of different values and store them appropriately in the database as templates for reference.

Capture the image of the note to be tested i.e. the input sample, such that the watermarks are clearly visible. So capture the image in light background.

Apply the Otsu Threshold algorithm on the sample, with a threshold value as required, and see if the required portions of the note can be isolated.

Compare the isolated features with the stored templates to establish if the note is original or counterfeit.

Challenges
How to Store all the 11 properties into the mobile database?

Will the algorithm work when there are some unusual marks on the note? Eg: pen mark etc.

Full transcript