D0351022026

International Journal of Engineering Science Invention
ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726
www.ijesi.org Volume 3 Issue 5ǁ May 2014 ǁ PP.22-26
www.ijesi.org 22 | Page
Design of Highly Secured Automatic Teller Machine System by
Using Aadhaar Card and Fingerprint
1,
Mr Abhijeet S. Kale, 2,
Prof. Sunpreet Kaur Nanda
1
M.E 2nd
year, 2,
Professor
1, 2,
Dept. of Electronics and Telecommunication PRPCET, Amravati Maharashtra, India
ABSTRACT: The main objective of this system is to develop an embedded system, which is used for ATM
security applications. In these systems, Bankers will collect the customer finger prints, Aadhaar cards and
mobile number while opening the accounts then customer only access ATM machine.Security measures at banks
can play a critical, contributory role in preventing attacks on customers. These measures are of paramount
importance when considering vulnerabilities and causation in civil litigation. Banks must meet certain
standards in order to ensure a safe and secure banking environment for their customers. Existing ATM systems
use magnetic card reader. The customer is identifying by inserting an ATM card with magnetic card that
contain unique information such as card number and some security parameters. By entering a personal
identification number, the customer is authenticated first then can access bank account in order to make cash
withdraw or other services provided by the bank. Cases of card fraud are another problem once the user’s bank
card is missing and the password is stolen, or simply steal a customer’s card& PIN the criminal will draw all
cash in very short time, which will being tremendous financial losses in customer, this type of fraud has spread
globally. So to rectify this issue we are implementing this system using ARMCONTROLLER on
“BIOMETRICS” and “AADHAAR CARD” in order to improve authentication of customer using ATM machine
and confidence in the banking sector.
KEYWORDS: ARM 7, Fingerprint module, Aadhaar card scanner, GSM module.
I. INTRODUCTION
Automated teller machine is a mechanical device that has its roots embedded in the accounts and
records of a banking institution. In the real world, today people are concerned about their safety, for their
valuable things. Old concepts and devices are getting modified as per requirement of people. Crime at ATM‟s
has become a nationwide issue that faces not only customers, but also bank operators. In day to day life we need
to seek new security system. So we develop to provide the maximum level security system. Money transactions
play an important role in the nature of trade. Enormously growing banking technology has changed the way
banking activities are dealt with. Security measures at banks can play a critical, contributory role in preventing
attacks on customers. These measures are of paramount importance when considering vulnerabilities &causation
in civil litigation and banks must meet certain standards in order to ensure a safe and secure banking
environment for their customers. An ATM is a mechanical system that has its roots embedded in the accounts
and records of a banking institution. Today, Credit cards & ATM are used for this purpose, the authentication of
these transactions are totally unsecure. Existing system of ATM client authentication there is a magnetic card
reader, client using the ATM require Bank card and password which provide customers with the convenient
banknote withdraw and other services. A newer high-tech method of operating sometimes called card cloning to
entangle the installation of a magnetic card reader over the ATM's card slot & the use of a wireless surveillance
camera to keep the user's Personal Identification Number. Real Card data are then cloned into a duplicate card &
the criminal attempts to cash withdrawal. To overcome this piracy in money transactions, I proposed the idea
using fingerprints & AADHAARCARD along with GSM modem for authentication of customers. Biometrics
and Aadhaar card can be defined as a measurable physiological and behavioral characteristic that can be
subsequently compared & captured with another instance at the time of verification. These technologies are a
secure way of authentication because data of both technologies are unique, cannot be shared, cannot be copied
and cannot be overlooked. GSM is used for sending a message to higher authorities when fingerprint and
Aadhaar card recognition false also type wrong password. Our project secures the money along with minimum
risk factor. Continue with it, it gives a master password for the use of long Businesses chain with the use of it;
we can use one ATM on a large scale with more security.

Design Of Highly Secured Automatic Teller Machine...
II. OBJECTIVE
[1] To research scope of biometric authentication techniques in ATMs.
[2] Fingerprint recognition: The masters' fingerprint information was used as the standards of identification. It
must certify the feature of the human fingerprint before using ATM system.
[3] Remote authentication: System can compare current client's fingerprint & Aadhaar card information with
remote data server.
[4] To generate module this helps for simple operation of ATMs with full proof secure authentication.
III. REVIEW OF LITERATURE
Mr. Wang et al. Expresses his view like that now a day ATM with magnetic strip authenticated only by
inserting password on the ATM machine. But according to today‟s scenario, cases of fraud are another problem.
So they provided fingerprint for more security. Now a days we are directing towards the pile of new powerful,
intelligent, auto rated system, which will give us easy to do the work smoothly, Thus systems are not dependent
on human support, one of these „ATM SECURITY SYSTEM‟ which we have evolved [1].Mr. Aru et al.
Suggests that Today, ATM systems use PIN & access card for identity verification. The recent advance in
biometric identification techniques, retina scanning, including fingerprinting, and facial recognition has made a
great effort to rescue the unsafe situation at the ATM. This research investigated the development of a scheme
that integrates facial recognition technology into the verification process used in ATMs. An ATM system that is
reliable in providing more security by using facial recognition is proposed. The development of such a scheme
would help to protect clients & financial institutions alike from intruders and identity thieves. This paper
concentrates on an ATM security system that would combine a physical access card, a Personal Identification
Number, & electronic facial recognition that will go as far as withholding the fraudster‟s card. Nevertheless, it's
obvious that man‟s biometric features cannot be replicated, this proposal will go a long way to solve the
problem of Account safety making it possible for the actual account owner alone have access to his accounts.
The combined biometric features approach is to serve the purpose both the identification and authentication that
card and PIN do [2].
What is Identification Authentication?
Identification is the process by which the identity of a user is established, authentication is the process
by which a service confirms the claim of a user to use a specific identity by the use of credentials. Biometrics is
very reliable for authentication. The difference is between a system that looks at a hand geometry and says “this
is Doctor Hunk” (identification) versus a man‟swho says “I, Doctor Hunk, present my hand to prove who I am?
And the system confirms this hand matches Doctor Hunk‟s template (authentication). Biometric authentication
is feasible today.
What is biometric authentication?
Biometrics is biological authentications, based on some physical characteristics of the human body.
The list of biometric authentication technologies is still growing. There are two categories of biometric
identifiers include physiological and behavioral characteristics. Physiological characteristics are related to the
shape of the body, and include but are not limited to: fingerprint, face recognition, DNA, palm print, hand
geometry, iris recognition (which has largely replaced retina). Behavioral characteristics are related to the
behavior of a person, including but not limited to: typing rhythm, gait, digital signature and voice. More
traditional means of access control include token-based identification systems, such as driver‟s license or
passport, and knowledge-based identification systems, such as password or Personal Identification Number
(PIN) [3].
IV. METHODOLOGY
The design of entire system consisted of two part which are hardware and software. The hardware is
designed by the rules of embedded system, and the steps of software consisted of three parts. The more details
are shown as follows.
A. Hardware Design
The LQFP64 chip is used as the core of entire hardware. Furthermore, the modules of LCD, keyboard,
alarm, fingerprint recognition are connected with the main chip (LQFP64).
There are some modules consisted of the system as follows:
 Fingerprint module: Fingerprint processing includes two parts: fingerprint enrollment and fingerprint
matching (the matching can be 1:1 or 1: N). When enrolling, user needs to enter the finger two times. The
system will process the two time finger images, generate a template of the finger based on processing

results and store the template. When matching, user enters the finger through optical sensor and system will
generate a template of the finger and compare it with templates of the finger library. For 1:1 matching,
system will compare the live finger with specific template designated in the Module; for 1:N matching, or
searching, system will search the whole finger library for the matching finger. In both circumstances,
system will return the matching result, success or failure.
 LCD Display: A liquid crystal display (LCD) is a thin, flat panel used for electronically to display
information such as text, images, and moving pictures. Its uses include monitors for computers, televisions,
instrument panels, and other devices ranging from aircraft cockpit displays, to every-day consumer devices
such as clocks, watches, calculators. Among its major features are their lightweight constructions. Its low
electrical power consumption enables it to be used in battery-powered electronic equipment. It is an
electronically-modulated optical device made up of any number of pixels filled with liquid crystals and
arrayed in front of a light source (backlight) or reflector to produce images in color or monochrome.
 GSM: This GSM modem is a highly flexible plug and play quad band GSM modem for direct and easy
integration to RS232. Supports features like Voice, Data/Fax, SMS,GPRS and integrated TCP/IP stack.
The proposed block diagram of the ATM security system as shown below:
Figure 1: Basic block diagram of ATM security system
B. Software Design:
The embedded platform discussed above is programmed in C language with KeilμVision4.
Keil μVision4: The LPC2148 is programmed with KeilμVision4. It is a window-based software platform that
combines a robust and modern editor with a project manager and make facility tool for development. It
integrates all the tools to develop embedded applications including a C/C++ compiler, macro assembler,
linker/locator, and a HEX file generator. μVision helps expedite the development process of embedded
applications by providing the IDE (Integrated Development Environment). KEIL is used to create source files;
automatically compile, link and covert using options set with an easy to use user interface and finally simulate
or perform debugging on the hardware with access to C variables and memory. Unless we have to use the tolls
on the command line, the choice is clear. This IDE i.e. KEIL Greatly simplifies the process of creating and
testing an embedded application. The user of KEIL centers on projects. A project is a list of all the source files
required to build a single application, all the tool options which specify exactly how to build the application, and
if required how the application should be simulated. A project is exactly the binary code required for the
application. Because of the high degree of flexibility required from the tools, there are many options that can be
set to configure the tools to operate in a specific and desired manner. It would be very tedious to have to set
these options up every time the application is being built; therefore they are stored in a project file. Loading the
project file into KEIL informs KEIL which source files are required, where they are, and how to configure the

tools in the correct way. KEIL can then execute each tool with the correct options. Source files are added to the
project and the tool options are set as required.
How to create project file:
[1] Create a New Project File with the µVision menu command Project --- New Project.
Select a microcontroller from the Device Database™. Use the MCB214x Board to develop code for many
of the LPC214x's family of devices.
[2] Select file – add new project file by inserting header file, Right-clicking a group in the Project Window,
then save as with “.c” extension and selecting add Files to Group from the context menu.
[3] Add your own Source Code to the project using the µVision editor by selecting Add Files to Group from
the context menu.
[4] Then build a programme that shows compiling the programme. After compiling the programme select for
generating HEX file.
For example: creation of UART programme.
Figure 2: Compiling programmed of UART
Figure 3: Hex file of UART

V. CONCLUSION
We have been able to develop a fingerprint mechanism and Aadhaar card mechanism as a biometric
measure to enhance the security features of the ATM for effective banking transaction for banks. The prototype
of the developed application has been found promising on the account of its sensitivity to the recognition of the
customers‟ finger print & Aadhaar card recognition as contained in the database. This system when fully
deployed will definitely reduce the rate of fraudulent activities on the ATM machines such that only the
registered owner of a card access to the bank account. An embedded fingerprint biometric authentication
scheme for ATM banking systems is proposed in this paper along with AADHAARCARD authentication for
more security; also included in this paper. Finally, conclusions are drawn out after observing the AADHAR
CARD &Fingerprint Biometric Authentication scheme results.
REFERENCES
[1] Mr. John Mashurano1, Mr. Wang liqiang2, “ATM Systems Authentication Based On Fingerprint Using ARM Cortex-M3”
International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 3, March - 2013 ISSN: 2278-0181 1
www.ijert.org IJERTIJERT
[2] Aru, Okereke Eze, Ihekweaba Gozie “Facial Verification Technology for Use In ATM Transactions “American Journal of
Engineering Research (AJER)e-ISSN : 2320-0847 p-ISSN : 2320-0936 Volume-02, Issue-05, pp-188-193 www.ajer.us
[3] Laudon Kenneth, Traver Carol Guercio, E-Commerce (2005), Second Edition , pp. 237-239, Pearson Education (Singapore), Pvt.
Ltd.
[4] Ibidapo, O. Akinyemi, Zaccheous O. Omogbadegun, and Olufemi M. Oyelami, “Towards Designing a Biometric Measure for
Enhancing ATM Security in Nigeria E-Banking System” International Journal of Electrical & Computer Sciences IJECS-IJENS
Vol:10 No:06
[5] M. Subha and S. Vanithaasri “A study on authenticated admittance of ATM clients using biometrics based cryptosystem”
International Journal of Advances in Engineering & Technology, Sept 2012. ©IJAET ISSN: 2231-1963Vol. 4, Issue 2, pp. 456-463
[6] Lasisi, H.; Ajisafe, A.A., "Development of stripe biometric based fingerprint authentications systems in Automated Teller
Machines," Advances in Computational Tools for Engineering Applications (ACTEA), 2012 2nd International Conference on , vol.,
no., pp.172,175, 12-15 Dec. 2012 doi: 10.1109/ICTEA.2012.6462860
[7] Patiyoot, D.; Shepherd, S.J., “Security issues for wireless ATM network,” Universal Personal Communications, 1998. ICUP’98.
IEEE 1998 International Conference on, vol.2, no., 5-9 Oct 1998 doi: 10.1109/ICUPC.1998.733713
[8] Bharath E, Dhananjaya K M, Anoop C.N, Raghavendra B V “Automated Teller Machine (ATM) Banking a User friendly”ISSN :
2230-9519 (Online) | ISSN : 2231-2463 (Print) IJMBS Vol. 2, Issue 4, Oct - Dec 2012
[9] [9] Jain, A.K.; Ross, A.; Prabhakar, S., "An introduction to biometric recognition," Circuits and Systems for Video Technology,
IEEE Transactions on, Vol. 14, no. 1, pp. 4,20, Jan. 2004 doi: 10.1109/TCSVT.2003.818349

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