IRJET- Random Keypad and Face Recognition Authentication Mechanism

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 3685
RANDOM KEYPAD AND FACE RECOGNITION AUTHENTICATION
MECHANISM
Shivani Shukla1, Anjali Helonde2, Sonam Raut3, Shubhkirti Salode4, Jitesh Zade5
1,2,3,4,5 Department of information technology, NIT college, Maharashtra, India
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Abstract - Authenticating user is the important aspect in
ATM security. Password is most important thing to provide
security in any system password having two way first is text
way and second is graphical way. We proposing both security
feature text base word and graphical password graphical
password include face recognition for detect the face but it is
second process .The first process is text password which
include random number.
We design this system to minimize the shoulder surfing attack
with the help of random keypad and face recognition method.
It works as ATM system this type of keypad more powerful as
compare to normal keypad
Key Words: Authentication, Recognition, Random,
Detect, Security.
1. INTRODUCTION
We are providing security using Random keyboard andface
recognition system. The touch screen interfaces on modern
devices such as ATMs has enabled the concept of the
randomized keypad. It digital camera is on 24 hours a day,
and its computer will automatically initiate a face
recognition procedure. Whenever the computer detects a
human face in camera the computer compares the image of
your face to the images of registered customers in its
database.
1.1 Random keypad
Numeric keypads are popular input methods for personal
identification numbers (PINs) for many applications,
including automated teller machines (ATM), security
screening systems within financial organizations, point-of-
sale systems, and home/car door locks. However, the threat
of “shoulder surfing” or observing private information from
the well-known layout of numeric keys has inspired the idea
of randomizing the layout of keys.
The proliferation of touch screen interfaces on modern
devices such as ATMs has enabled the concept of the
randomized keypad. However, very little isknown aboutthe
overall usability of the randomized numeric keypad.
Although research has focused on thepreventionofshoulder
surfing and the use of picture-based keypads the usabilityof
randomized keypads is not covered in the literature.
1.2 Face Recognition System
Face recognition technology analyze the unique shape,
pattern and positioning of the facial features. Face
recognition is very complex technology and is largely
software based. This Biometric Methodology establishesthe
analysis framework with tailored algorithms foreachtypeof
biometric device. Face recognition starts with a picture,
attempting to find a person in the image. This can be
accomplished using several methods including movement,
skin tones, or blurred human shapes. The face recognition
system locates the head and finally the eyes oftheindividual.
A matrix is then developed based on the characteristics of
the individual’s face. The method of defining the matrix
varies according to the algorithm. This matrix is then
compared to matrices that are in a database and a similarity
score is generated for each comparison.
Artificial intelligence is used to simulate human
interpretation of faces. In order to increase the accuracyand
adaptability, some kind of machine learning has to be
implemented.
2. LITERATURE SURVEY
Mainly the password problem arises from limitation of
humans Long Term Memory. Once the password has been
chosen and learned the user must be able to recall ittologin.
But usually people forget the password. Graphical
Authentication Techniques are categorized into three
groups:
1. Pure Recall Based: In this system Users reproduce their
passwords, without having the chance to use the reminder
marks of system. Although easy and convenient, it appears
that users do not quite remember their passwords.
2. Cued Recall Based: Here, the system provides a
framework of reminders, hints and gestures for the users to
reproduce their passwords or make a reproduction that
would be much more accurate.
3. Recognition Based: Here, users select pictures, icons or
symbols from a bank of images. During the authentication
process, the users have to recognize their registrationchoice
from a grid of image. Research has shown that 90% of users
can remember their password after one or two months. [1]
4. Holistic Matching Methods: In holistic approach, the
complete face region is taken into account as input data into
face catching system. One of the best example of holistic
methods are Eigen faces [8] (most widely used method for
face recognition), Principal Component Analysis, Linear
Discriminant Analysis [7] and independent component
analysis etc.

Most authentication methods involve pressing keys on a
keyboard or selecting objects on a screen, and both the
screen and the keyboard are visible to the authorizeduseras
well as to the shoulder surfer. This paper will present and
analyze the performance of a graphical screen oriented
password entry system that greatly reduces the threat of
shoulder surfing.
Authentication methods based on physical access cards are
vulnerable to theft or loss. Unless the physical card is
combined with other authentication means, a person who
steals or finds a lost card would have full unrestrictedaccess
to the protected information.[5]
3. PROPOSED SYSTEM
The below figure show the overall working of our project
When user enter in the system display screen appearonthat
include one button that is transection button after clicking
on that button next page appear that Random keypad pageif
user is already register on system they can enter pin and
proceed if the user is not register than one linkshowonpage
that is registration link after clicking on that registration
form open that form including field like user name , account
number , date of birth , address ,contact number and gender.
Fig -1: Flow chart
After entering pin user proceed for the next activity that
activity include following operation:
1. Balance Inquire
2. Change Pin
3. Withdraw
By using balance inquire activity user check balance of their
account and using change pin operation user can change
their account pin for that user have to enter same fields that
is old pin, new pin and confirm pin.
Withdraw operation is use for withdraw money for same
amount can be enter by user after performing operation
user can logout.
4. METHODOLOGY
RAD [Rapid Application Development]:Thismethodology
fallows the system development life cyclethatinasequential
and structural way.
Phases of RAD model are as follows:
1. Requirement
2. Design
3. Construction
4. Coding and Testing
5. Implementation
Fig 2: RAD model
The virtual shuffling of keypad and face reorganization
ismainly designed either on resistive screen on loginpage.It
provide the user which uses in order to enter password for
their required purpose, after the user enter the password
and face recognition performed then user can able to
perform their operation like withdraw, change password
and so on.
The purpose of using waterfall development is that it
allow for departmentalization and managerial control.
Development moves from concept through designed,
implementation, testing, operation and maintenance.
5. RESULT AND SCREEN SHOT
There are four modules in our project as follows:
1. Registration module
2. Random keypad module
3. Face recognition Module
4. Main menu module

5.1 Registration module:
The first module of our project isregistration module which
include page
1. Home Page: it consists of transaction button when
user click on this button directly switch on login
page.
2. Registration Page: The new user can fill the
information with help of registration page.
Fig 3: - Home Page
Fig 4:- Registration page
5.2 Random keypad module:
Module 2 has a random keypad generator and main menu
form perform the operation like withdraw, balance enquiry
and change password .Random keypad is an vritual keypad
on the display screen random keypad means the numbers
button of keypad that suffled with every transection.Virtual
keypad used to provide an alternative input for user with
hand mobility or ATM to use a random keypad. Designing a
random keypad to overcome the shoulder surfing.
Fig 5:- Normal and Random Keypad generator
5.3 Face recognition
Face recognition is an important part of the capability of
human perception system and is a routine task for humans,
while building a similar computational model of face
recognition. The computational model notonlycontributeto
theoretical insights but also to many practical applications
like automated crowd surveillance, access control, design of
human computer interface (HCI), content based image
database management, criminal identification and so on.
Fig 6:- Face Recognition
5.4 Main menu module
In main menu module their fouroperation are includethatis
1. Balance inquire operation
2. Withdraw operation
3. Deposit operation
4. Change pin operation

Fig 7:- Main Menu
6. CONCLUSION
This paper recognizes a model for the modification
of existing ATM systems by virtual shuffling of keypad and
wireless password communication provide an effectiveway
of preventing PIN theft. The Proposed idea will confuse the
Password guessing and password thieving in future from
unauthorized person. Therefore this kind of additional
technique preventing pin theft in future. Face recognition
technologieshave been associated generallywithverycostly
top secure applications. Today the core technologies have
evolved and the cost of equipment’s is going down
dramatically due to the integrations and the increasing
processing power.
In future the advancement in hardware and software and
remove its problem and make more efficient.
REFERENCES
[1] Mr. Jitesh Zade, Ms. Shivani Shukla, Ms. Sonam Raut, Ms.
Anjali Helonde, Ms. Shubhkirti Salode, “Review on graphical
authentication technique”, Internationaljournalforresearch
in applied science and technology, March 2018.
[2] Nilesh Kawale, Shubhangi Patil, “A Recognization Based
Graphical Password System”, International Journal of
Current Engineering and Technology, April 2014.
[3] Sujata G. Bhele1 and V. H. Mankar, “A Review Paper on
Face Recognition Techniques”, International Journal of
Advanced Research, October 2012.
[4] Young Sam Ryu, Assistant Professor, “Usability
Evaluation of Randomized Keypad”, Ingram School of
Engineering Texas State University-San Marcos, February
2010.
[5] Bogdan Hoanca, “Screen oriented technique forreducing
the incidence of shoulder”, Computer Information Systems
University of Alaska Anchorage Kenrick Mock Computer
Science University of Alaska Anchorage, April 2005.
[6] Onsen TOYGAR, Adnan ACAN. “Face recognition using
PCA, LDA and ICA approaches on colored images”, 2003.
[7] McIntyre, K.E., Sheets, J.F., Gougeon, D.A.J., Watson, C.W.,
Morlang, K.P., Faoro, “Method for secure pin entry on touch
screen display”, United States Patent and Trademark Office,
April 2003.
[8] Samal, Iyengar, “Automatic recognition and analysis of
human faces and facial expressions”, April 1992.

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