IRJET - Artificial Intelligence and Aadhaar Based Smart ATM

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 07 | July 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3616
Artificial Intelligence and Aadhaar Based Smart ATM
M. Ravi Prasad M.Sc, M.Tech,
Assistant Professor, Department of CSE, S V College of Engineering, Kadapa.
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Generally ATM transaction will be perform by
customer by entering 4 digit PIN, but it may be traceable by
unauthorized user and sometimes an unauthorized user can
perform the transactions using dummy card. To handle
these type of scenarios and to provide high security for
Customer Bank Account from Miscellaneous ATM
transactions suggesting a new technique in this paper. The
suggested technique is combining features of Artificial
Intelligence and Aadhaar ID. Everyone knows AI has huge
prominence in the current trends in technology. By using AI
Customer Face will be recognized and by using Aadhaar ID
will verify Finger Image of the customer, by using these two
will have high security to perform the ATM transactions by
the Customer.
Key Words: Artificial Intelligence, Smart ATM, Aadhaar ID
based, Biometric Based, Secured ATM Transactions.
1. INTRODUCTION
The automated teller machine (ATM) is an automatic
banking machine (ABM) that allows the customer to
complete basic transactions without any help from bank
representatives. There are two types of automated teller
machines (ATMs). The basic one allows the customer to
only draw cash and receive a report of the account
balance. Another one is a more complex machine that
accepts the deposit, provides credit card payment facilities
and reports account information.
It is an electronic device that is used by only bank
customers to process account transactions. The users
access their accounts through a special type of plastic card
that is encoded with user information on a magnetic strip.
The strip contains an identification code that is
transmitted to the bank’s central computer by modem.
The users insert the card into ATMs to access the account
and process their account transactions. The automated
teller machine was invented by john Shepherd-Barron in
the year of 1960.
So, with ATM lot of benefits are having for the customer
and also having many security problems. As technology
place a very important role in this Application I have to
provide better solution to overcome the problem. In the
existing papers few are suggested the only Artificial
Intelligence or Aadhaar based solutions. To provide high
security in this paper I am grouping the two techniques of
AI and Aadhaar.
As the customer Account linked with Aadhaar ID the same
data is going to furnish in the ATM card and as well the
Customer Facial image with AI. When a Customer insert an
ATM card first Account data will be fetched along with that
it also fetch facial image and finger print based on AI and
Aadhaar ID. Customer will be authorized by reading the
current facial image with Cam and Fingerprint by device
and will go for validation. After successful validation only
Customer can perform the transaction. So, this will be
leads to high level security in ATM transactions
2. LITERATURE SURVEY
2.1 Artificial Intelligence based Security
If a Customer want to perform any Transaction through
ATM he should be validate first with Face recognition by
AI. At the time of Customer registration in Bank itself will
go for Face capture by Digital camera. The same will be
stored in Bank Customer Account database. Every time
when a Customer visits ATM to perform transaction Face
recognition will be done by AI.
Customer inserts an ATM card into the machine while
reading Account details it also fetch stored Facial image
and Aadhaar ID. While retrieving the details the current
facial image will be capture from the Camera which was
fixed on the machine. Mean while it retrieves stored finger
image based on the Aadhaar ID. Once the stored Facial
Image and Current Captured image is retrieved will go for
AI validation. If success will go for next Aadhhar based
finger print validation.
2.2 Aadhaar based Security
Once the AI validation is success then application will go
for Aadhaar based finger image validation. Based on
retrieved Aadhaar ID linked with Account it will fetch the
stored Finger images from UIDAI database. Mean while
current Customer finger image will capture from the
Biometric device which was connected to ATM machine.
Once the store Finger images and Current captured Finger
is image is retrieved will go for another Validation. If this

also success then it continues to the next level in
Transaction system.
3. EXISTING METHOD
When ATM card is inserted into card slot the information
present on the magnetic strip is read by two card readers
present in the card slot. One card reader looks for special
code which confirms that card is real. Second card reader
grabs account number and password to check against
what you entered. If authentication is successful then ATM
connects with bank server through telephone network.
Now user can perform bank transactions and when
transaction is completed card comes out through ATM slot
and user automatically logs out. Counting machine is
present to count number of notes and receipt comes
through printer which gives you information about
transaction completed.
User needs to perform one of the following transactions:
1 Cash transfer
2 Cash Withdraw
3 Balance Enquiry
4 Password change
This is just general method of what happens.
4. PROBLEM STATEMENT
There are several methods through person can hack into
the customer’s account can steal the money from the
customer’s account. This is as follows:
1. Skimming: A device is been installed into the card slot
and all the information is read from onto the card. A
small pinhole camera is fixed above the keypad
which takes up all this information. By the help of
this information a duplicate card is made by the
criminal and can access the customer’s account.
2. Lebanese Loop: In this type of fraud, the criminal
installs the device due to which card gets locked into
the slot the time when transaction completes that
time the machine pushes out the card now since the
card is locked. The customer moves away from him
place for complaining and by the time criminals
comes out and will unlock the card and will draw all
the money from users account.
3. Lost or stolen card: If the card is lost or stolen that
time too there is possibility that users account can
be access by criminal. By many such techniques
criminals can access your account. If biometric with
some additional security is used then these frauds
can be minimized.
5. PROPOSED METHOD
In our proposed Iadding the features of AI and Aadhaar
ID for validation of the Customer. The process will be
shown below.
Sta
t
Insert ATM Card into machine
Reading Card data
With Card data Retrieving of
stored Facial Image and
Capturing the current by Cam
(AI)
Bank
DB
Validatin
g the
Images
True
False
Retrieving the Finger image
from UIDAI and capturing
the Current Finger (Aadhaar
DB)
UIDAI
Validating
the Finger
Images
True
False
Transactions Menu
Sto
p
Fig: Process of AI and Aadhaar Based Smart ATM

Requirements to Implement AIASA
To implement the proposed system there is need of few
Hardware and Software requirements.
1. Web Camera
2. Biometric Device
3. Module to Link AI algorithm for Capturing and
validating the Facial Image.
4. Module to link the UIDAI for retrieval of stored
finger images and validating with captured
images.
5. Module to Read Account data and Aadhaar ID.
Some algorithms and Methods to implement AI validation
and Aadhaar validation.
 Eigenfaces/Principal Component Analysis
 Local Binary Patterns Histograms (LBPH)
 Fisherfaces
 Scale Invariant Feature Transformation (SIFT)
 Speed Up Robust Features (SURF)
Machine Learning Algorithms
 Neural Networks
 Support Vector Machines
 Nearest Neighbor
 Decision Trees
By using of the above Algorithms will compare the Face
Comparison. And also will perform Biometric finger
validation.
6. FUTURE SCOPE
▪ Here proposed system is applicable for only ATM
based transactions. It is identifying the Customer
Physically authorized or not.
▪ If the Customer want to perform the same
Transaction through Online either with mobile app
or internet banking there the Customer is identifying
only with Password or PIN number to perform
transaction. Therefore Cybercrimes are growing
rapidly.
▪ In future I am going propose this technique i.e AI and
Aadhaar based algorithm to validate customer. Here
no need of the Additional devices required because
now a days every mobile is having a feature of
Camera and Fingerprint scanner so, to implement
this technique in the Mobile or Internet banking
application becomes low cost effective.
7. CONCLUSION
Here I am proposing the solution of the existing
problem of low Security. In the existing system Security
level is very low because of no particular technique to
decide whether Customer is authorized or Unauthorized.
In this paper I am proposing the technique of AI and
Aadhaar ID algorithms where AI will identify the
Customer by validating the Facial image and also
Aadhaar based Finger Image Verification to decide the
Customer is authorize or not. From this paper it is going
to provide High Security for Customer Bank ATM
transactions.
REFERENCES
[ 1] Ankitha Mahajan, Radhika Mande, Avinash Mhaske,
Parth Shete & Dr S.B. Dhooth, Dept. of ETE, Govt
Polytechnic Aurangabad,Maharastra. “Artificial
Intelligence based Smart ATM”.
[2] Manoj V, Moulishankar R, Sasipriya S, Usha Devi E,
Devika t.UG student knowledge institute of technology,
Salem “Multi authentication ATM theft prevention using
Ibeacon”.
[3]”Biometric authentications to control ATM theft”
Ahmad Tasnim Siddiqui, College of computers and IT Taif
University, Kingdom of Saudi Arabia.
[4] “Design of highly secured automatic teller machine
system by using Aadhar card and Fingerprint” Mr. Abhijeet
S.Kale Prof. Sunpreet kaur nanda ISSN: 2319-6734,
ISSN(print) : 2319-6726 www.ijesi.org volume 3 Issue
5||May 2014||pp.22.
[5] “A-ATM: Aadhar based security in Atm” Abdul
rahmana shaik Vemuri Kusuma priya b, ISSN: 2395 - 0056,
p – ISSN : 2395 – 0072 volume : 03 ISSUE:12/dec-2016.
[6 ] “Card less cash access using Biometric Atm security
System” by Nine preetam Harsh gupta ISSN:2319-
7463,vol.3 ISSUE 11,November-2014,pp:(13-7),
Impactfactory:1.252, Avilable online
at:www.erpublications.com.

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