Biometric System Based Electronic Voting Machine Using Arm9 Microcontroller

IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 1, Ver. II (Jan - Feb. 2015), PP 57-65
www.iosrjournals.org
DOI: 10.9790/2834-10125765 www.iosrjournals.org 57 | Page
Biometric System Based Electronic Voting Machine Using Arm9
Microcontroller
1
M.Sudhakar, 2
B.Divya Soundarya Sai,
1
Professor in ECE, 2
II Year M.Tech,
Dept of ECE,CMR College of Engineering &Technology,Hyderabad, TS-India.
Abstract:This paper focuses on simple,low cost fingerprint based electronic voting machine using ARM9
microcontroller. An electronic voting system is a voting system in which the voters’ and voting data is
recorded,stored and processed digitally. The proposed systemconsistsofcontroller hardware and software. The
hardware is implemented with ARM9 microcontroller along with KY-M6 finger-print module. The software code
is developed in WINCE6 development environment for interfacing the ARM processor with finger-print module.
The proposed system gives the best solution for minimizing the time taken for identifying the voter. The design
implemented in the FP-EVM is portable,flexible and with minimum power consumption. The designed system is
user-friendly,easily adaptableand cost-effective. Further,the designed system has simple architecture,fast
response time and scope for further expansion.
Index Terms:KY-M6 Fingerprint sensor,ARM9(mini2440).
I. Introduction
Fundamental right to vote or voting in elections forms the basis for the democracy. Elections [1] allow
the people to choose their representatives and express their preferences for how they are governed. In all earlier
elections of India, such as state or central elections, a voter casts his/her vote by marking with stamp against
their chosen candidate and then folding the ballot paper as per a prescribed method, before dropping it in the
ballot box. This is a time-consuming and very much prone to errors. The same method was continued till the
electronic voting machines were introduced in the election process.Because of the EVMs, all the condensed
materials like the ballot papers,ballot boxes and stamping are completely replaced into a simple box called ballot
unit. EVMs retain all the characteristics of voting by ballot papers, while making polling a lot more expedient.
1.1 Requirements Of E-Voting
The requirement in traditional voting process is also applicable for e-voting and some of them are mentioned
below [3]Fairness: No person can learn the votingoutcomes before the tally. Eligibility: Only eligible voters are
allowed to casttheir vote. Uniqueness: No voter is allowed to cast the votemore than once. Privacy: No person
can access the informationabout the voters vote. Accuracy: All the valid votes should be
countedcorrectly.Efficiency: The counting of votes can beperformed within a minimum amount of time.
II. Existing System
An EVM consists of two units namely Control Unit and Balloting Unit
The two units are joined by a five-meter cable. The Control Unit is with the Presiding Officer or a
Polling Officer and the Ballot Unit is placed inside the voting compartment. Instead of issuing a ballot paper, the
Polling Officer in-charge of the Control Unit will press the Ballot Button. This will enable the voter to cast
his/her vote by pressing the blue button on the Ballot Unit against the candidate and symbol of his/her
choice.The controller used in EVMs has its operating program etched permanently in silicon at the time of
manufacturing by the manufacturer. No one (including the manufacturer) can change the program once the
controller is manufactured.EVMs can cater to a maximum of 64 contesting candidates. There is provision for
only 16 candidates in a BUif the total number of candidates exceeds 16,then a second BU is to be linked parallel
to the first BU.Similarly, if the total number of candidates exceeds 32,then a third BU is to be connected and if
the total number ofcandidates exceeds 48,fourth BU is to be connected to cater to a maximum of 64
candidates.As the process is faster and more reliable,the EVMs save considerable amount of time,money, paper
and man power.
Actual process of identifying the voter has to be done by the polling officer. For casting of votes with
EVMs,the voters have to produce their ElectionPhoto Identity Card(EPIC) issued by the Election Commission.
The polling officer needs to verify the EPIC with the official list he has,then he needs to confirm whetherit is an
authorized card or not and he allows the voters to cast their votes.Therefore EVMs depend upon manual
verification of the EPIC. Consequently,this slows down the voting process. This limitation is overcome with the
help of finger-print identification module. The second limitation is the number of contesting candidates

Biometric System Based Electronic Voting Machine Using Arm9 Microcontroller.
available in the EVM. The EVMs can cater to a maximum of 64 candidates with the use of one CU and four
BUs. If the number of contestant candidates exceeds 64,then the polling officer needs to carry one more set of
EVM that necessitates more material and additional manpower.
Fig:1: Electronic Voting Machine (EVM)
2.1 Advantages Of Evm
EVMs are powered by an ordinary 6 volt alkaline battery manufactured by Bharat Electronics Ltd.,
Bangalore and Electronic Corporation of India Ltd., Hyderabad. This design enables the use of EVMs
throughout the country without interruptions because several parts of India do not have power supply and/or
erratic power supply.It is not possible to vote more than once by pressing the button again and again. As soon as
a particular button on the Ballot Unit is pressed, the vote is recorded for that particular candidate and the
machine gets locked for next voter. Even if one presses that button further or any other button, no further vote
will be recorded. This way the EVMs ensure the principle of "one person, one vote".Bogus voting can be greatly
reduced by the use of EVMs. In case of ballot paper system, a bogus voter can stuff thousands of bogus ballot
papers inside the ballot box because of manual process. But, an EVM is programmed to record only five votes in
a minute.
III. Biometric Systems
Biometrics[5] is a method of recognizing a person based on physical or behavioral
characteristics.Examples ofbiometric information used to identify people include fingerprint, voice, face, iris,
handwriting, and hand geometry.There are two key functions offered by a biometric system. One method
isidentification, a “one-to-many”(1:N)matching process in which a biometric sample is compared sequentially to
a set of stored samples to determine theclosest match. The other isverification, a “one-to-one”(1:1)matching
process in which the biometric system checkspreviously enrolled datafor a specific user. The verificationmethod
provides the best combination of speed and security, especially where multiple users are concerned, andrequires
a user ID or other identifier for directmatching. Unprecedented growth in electronictransactions has
underlinedthe need for a faster, more secure and more convenient method of user verification thanpasswords can
provide. Biometric identifiers offer several advantages over traditional and current methods.This is because only
biometric authentication is based on the identification of an intrinsic part of a human being.Tokens such as
smart cards, magnetic stripe cards and physical keys, can be lost, stolen, duplicated or left behind.Passwords can
be forgotten, shared, hacked or unintentionally observed by athird party. By eliminating thesepotential trouble
spots, only biometric technology can provide the security, with convenience needed for today’scomplex
electronic landscape.
3.1 Finger-Print Biometric
Human fingerprints are unique to each person and can be regarded as a sort of signature, certifying the
person's identity. Fingerprints[6] are the oldest and most widely used form of biometric identification. A
fingerprint is formed from an impression of pattern of ridges on a finger. A ridge is defined as a single curved
segment,and a valley is the region between two adjacent ridges. The minutaewhich are the local discontinuities
in the ridge flow pattern,provide the features that are used for identification.
3.1.1 Finger-Print Recognition[7]
It is an active research area nowadays. An important component in fingerprint recognition systems is
the fingerprint matching algorithm. According to the problem domain, fingerprint matching algorithms are
classified in two categories: fingerprint verification algorithms and fingerprint identification algorithms. The
aim of fingerprint verification algorithms is to determinewhether two fingerprints come from the same finger or

not. On the other hand, the fingerprint identification algorithms search a query fingerprint in a database looking
for the fingerprints coming from the same finger. Despite the widespread use of fingerprints, there is little
statistical theory on the uniqueness of fingerprint minutiae. A critical step in studying the statistics of fingerprint
minutiae is toreliably extract minutiae from the fingerprint images.However, fingerprint images arerarely of
perfectquality. They may be degradedand corrupted due to variations in skin and impression
conditions.Thus,image enhancement techniques are employed prior to minutiae extraction to obtain a more
reliable estimation of minutiae locations.
Straightforward matching[8] of the to-be-identified fingerprint pattern against many already known
fingerprint patterns would not serve well, due to the high sensitivity to errors in capturing fingerprints (e.g. due
to rough fingers, damaged fingerprint areas or the way a finger is placed on different areas of a fingerprint
scanner window that can result in different orientation or deformation of the fingerprint during the scanning
procedure). A more advanced solution to this problem is to extract features of so called minutiae points (points
where the tiny ridges and capillary lines in a fingerprint have branches or ends) from the fingerprint image and
check matching between these sets of very specific fingerprint features.The extraction and comparison of
minutiae points requires sophisticated algorithms for reliable processing of the fingerprint image, which
includes eliminating visual noise from the image, extracting minutiae and determining rotation and translation of
the fingerprint. At the same time, the algorithms must be as fast as possible for comfortable use in applications
with a large number of users.
Many of these applications can run on a PC, however some applications require that the system be
implemented on low cost, compact and/or mobile embedded devices such as doors, gates, handheld computers,
cell phones etc.). For developers who intend to implement the fingerprint recognition algorithm into a
microchip, compactness of algorithm and small size of required memory may also be important.
3.2. Related Work
In this section,ARM9,KY-M6 finger-print sensor, MAX 232 for serial communication and Ethernet are
described.
A. KY-M6 finger print sensor:
KY-M6 Fingerprint Sensor Module is able to conduct fingerprint image processing, template generation,
template matching, fingerprint searching, template storage, etc. Compared with similar products from other
suppliers, KY-M6 proudly boasts of following features:
1. Proprietary Intellectual Property:Optic fingerprint enrollment device, KY-M6 hardware as well as
fingerprint algorithm are all developed by KeyPower Security.
2. Wide Application Range of Fingerprints with Different Quality:Self-adaptive parameter adjustment
mechanism is used in the course of fingerprint enrollment. This ensures good image quality for even dry or
wet fingers, thus it has wider application range.
3. Immense Improved Algorithm:KY-M6 Fingerprint algorithm is specially written according to optic
imaging theory. The algorithm is good for low-quality fingers due to its excellent correction and tolerance
features.
4. Flexible Application:User can easily set KY-M6 Module to different working modes depending on
complexity of application systems. User can conduct secondary development with high efficiency and
reliability.
5. Easy to Use and Expand:It is not necessary for user to have professional knowledge in the field of
fingerprint verification. User can develop powerful fingerprint verification application systems with the
command set provided by KY-M6.
6. Low Power Consumption:Sleep/awake control interface makes KY-M6 suitable for occasions that require
low power consumption.
7. Different Security Levels:User can set different security level according to different application
environment.
8. Application:KY-M6 can be used on all fingerprint verification systems, such as Safety cabinet, door lock,
Complicated door-guard system, Fingerprint IC card Identification Terminal, Fingerprint identification and
verification system associated with PC.

Fig2:KY-M6 sensor
B. Arm9 Microcontroller:
The S3C2440A is developed with ARM920T core,0.13um CMOS standard cells and a memory
compiler. It’s low power, simple, elegant and fully static design is particularly suitable for cost- and power-
sensitive applications. It adopts a new bus architecture known as”Advanced Microcontroller Bus Architecture”.
This processor offers outstanding features with it’s CPU core. It is a 16/32-bit ARM920 RISC processor
designed by Advanced RISC Machines Ltd. The ARM920T implements MMU,AMBA BUS, and Harvard
cache architecture with separate 16KB instructions and 16KB data caches,each withan 8-word line-length. By
providing acomplete set of common system peripherals, the S3C2440A minimizes overall system costs, and
eliminates the need to configure additional components.
Fig3:ARM9 S3C2440Amicrocontroller.
C. Ethernet
Ethernet is a family of computer networking technologies for Local Area Networks. Ethernet was
commercially introduced in 1980 and standardized in 1983 as IEEE802.3.It has largely replaced competing
wired LAN technologies such as token ring, FDDI and ARCNET.Systems communicating over Ethernet divide
a stream of data into shorter pieces called frames .Each frame contains source and destination addresses and
error-checking data so that damaged data can be detected and retransmitted. As per the OSI model, ethernet
provides services upto and including the data link layer. Ethernet was developed at xerox PARC between 1973
and 1974.Ethernet evolved to include higher bandwidth, improved media access control methods, and different
physical media. The coaxial cable was replaced with point to point links connected by Ethernet repeaters or
switches to reduce installation costs, increase reliability, and improve management and troubleshooting.
Fig4:Ethernet cable

3.3Proposed System
In the proposed system,finger-print based authentication is used to enhance security to EVM. During
enrollment phase,the fingerprints and details of the candidate(photo,name,constituency,voter i.d)are taken and
stored in the remote server. During the voting process,the voter places the finger on finger print module. Then
the fingerprint is matched with that of the data base and checks its authenticity. A second check is carried out to
verify whether the voter has already voted.If the fingerprint is not validated or if the voter has already voted,
then he/she is not allowed to vote.Hence,through these authentication checks, unauthorized voters and second
time voting is eliminated and thus the security is ensured. If the voter is voting for the first time and has
registered,then the list of parties infray is displayed on ARM LCD through which he can cast his vote. The final
polling result can be viewed at central server by an authorized person using an IP address and password.
IV. Block Diagram
Figure5:Block diagram of proposed system
Interfacing Of Arm9,Finger-Print Module And Pc
Figure6: Serial communication

The MAX232 is an IC, first created in 1987 by Maxim Integrated Products, that converts signals from
an RS-232 serial port to signals suitable for use in TTL compatible digital logic circuits. The MAX232 is a dual
driver/receiver and typically converts the RX, TX, CTS and RTS signals.The drivers provide RS-232 voltage
level outputs (approx. ± 7.5 V) from a single + 5 V supply via on-chip charge pumps and external capacitors.
This makes it useful for implementing RS-232 in devices that otherwise do not need any voltages outside the 0
V to + 5 V range, as power supply design does not need to be made more complicated just for driving the RS-
232 in this case.
The receivers reduce RS-232 inputs (which may be as high as ± 25 V), to standard 5 V TTL levels.
These receivers have a typical threshold of 1.3 V, and a typical hysteresis of 0.5 V.When a MAX232 IC receives
a TTL level to convert, it changes a TTL logic 0 to between +3 and +15 V, and changes TTL logic 1 to between
-3 to -15 V, and vice versa for converting from RS232 to TTL.
A. Interfacing Of Dm9000 And S3c2440a
Figure7:Interfacing diagram.
The DM9000 is a fully integrated and cost-effective low pin count,single chip,fast Ethernet controller
with a general processor interface,a 10/100M PHY and 4K Dword SRAM It has a very low power consumption
mode and compatible with 3.3 and 5.0 tolerant I/O.DM9000 has two ports-address port and data port.Address
port is used to input the address of the internal registers and dataport to complete a register read and
write.DM9000 CMD pin is used to distinguish between the two ports,CMD pin is 0,the DM9000 data online
transmission of register address,when the CMD pin is 1,transmission of read and write data takes place. When
A8 and A9 is high,A4 to A7 is kept low and AEN pin receives S3C2440 ADDR2 pin,then two port addresses of
DM9000 are defined:#Define DM_ADDR_PORT, #Define DM_DATA_PORT.
V. Functional Flow Chart

Figure8:Flowchart for proposed system
VI. Algorithm Of Proposed System:
Step1: Initialization of process.
Step2: It is assumed that the voters have already registered and their finger-prints and voter details are stored in
remote server
Step3: Check if the voter I.D is valid or not i.e whether the candidate has registered or not by comparison of his
finger with already stored finger-prints from remote server.
Step4: If the voter has not registered or if the card ID is invalid,then display the message that the user is an
unauthorized person.
Step5: Else if the card is valid,then go to next step.
Step6: Check if the candidate has already voted or not.
Step7: If he has already casted his vote,then message is displayed that he has already voted and is prevented
from voting for the second time.
Step8: Else, if the candidate is voting for the first time,then he is allowed to vote.
Step9: partiesinfray is displayed on LCD.
Step10: After vote casting,the candidate’s photo,name,constituency and voter I.D is displayed on LCD.
Step11:The polling results are sent instantaneously to central server which is accessed by an official using I.P
address and password.
VII. Implementation And Results
(a) Mini 2440

(b)Interfacing between ARM9 and FP module
(c)Display of voter photo,name,constituency and voter I.D after permitted to vote.
(d).Vote casted by another candidate
(e) Polling results viewed at central server
(f).Alert message for an invalid voter
VIII. Conclusion And Future Scope
This paper is used to enhance security by eliminating bogus voting and vote repetition using finger-
print based authentication.As an additional security measure photo and details of the voter are displayed on
ARM9 LCD from remote server and results are viewed at central server by an authorized person.In future,
security of FP-EVM can still be enhanced if finger-print data can be stored and accessed from central server,

voting ballot unit is separately placed from control unit and photo and details of the voter be displayed on PC
rather than on ARM9 LCD as in the present project.
References
[1]. http://www.rspublications.com/ijeted/ijeted_index.htmIssue 2,vol6,september2012 ISSN 2249-6149
[2]. http://en.wikipedia.org/wiki/Indian_voting_machines
[3]. IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 4, No 1, July 2013ISSN (Print): 1694-0814 | ISSN (Online):
1694-0784www.IJCSI.org
[4]. fig:1https://www.google.co.in/search?q=electronic+voting+machine&biw=1366&bih=657&tbm=isch&tbo=u&source=univ&sa=X
&ei=r12QVIufDdG7uASWrIK4CA&sqi=2&ved=0CDYQsAQ
[5]. secugen fingerprint reader guide
[6]. FingerprintImageEnhancementandMinutiae Extraction-Raymond Thai
[7]. http://www.codeproject.com/Articles/97590/A-Framework-in-C-for-Fingerprint-Verification
[8]. http://www.neurotechnology.com/fingerprint-biometrics.html
Biographies
Prof. M Sudhakar:He is graduated (B.Tech) from JNTU College of Engineering,
Hyderabad in the year 1979, with the specialization of ECE. Later completed his post
graduation (M.Tech) from Indian Institute of Technology, Madras in the year 1986 with the
specialization of Instrumentation, Control & Guidance. He also did his PG Degree in
Aeronautical Engineering (Electronics) from Air Force Technical College, Bangalore in the
year 1981. Presently pursuing his research in “Intelligent and Adaptive Control Systems, in
JNTU Hyderabad. Completed R&D Project assigned by IAF on “Mathematical Modeling &
Simulation of Aero Engine Control System‟ at Aeronautical Development Establishment, Bangalore and Gas
Turbine Research Establishment, Bangalore for a period of 2 years
B.DivyaSoundarya Sai(12H51D5502),received her B.Tech degree in Electronics &
Communication Engineering from JCET,Hyderabad,currently perceiving her
M.Tech,Embedded Systems in CMR College Of Engineering &Technology,Hyderabad.

Biometric System Based Electronic Voting Machine Using Arm9 Microcontroller

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Biometric System Based Electronic Voting Machine Using Arm9 Microcontroller