ABSTRACT
In
the present day world, online shopping using WAP enabled mobile phone has
widely come into use. Credit cards serve as the currency during e-business and
e-shopping. As technology has advanced in the negative side also, hackers and
spoofers steal & misuse credit card
numbers, even though the network has been made secure. So, in this paper, we
have proposed a multi-biometric model (integrating
voice, fingerprint and facial scanning) that can be embedded in a mobile
phone, making e-transactions more secure. The model is very cost effective, as
we have tried to use the hardware already present in the phone. This paper uses
for image processing for facial recognition and fingerprint. We have
also simulated a few graphs for voice recognition using MATLAB 6.0 . Existing
system involving passwords and PIN numbers prefers the identifing
Passwords are ascertained by shoulder surfing or by informed guesswork.
PIN numbers can be shared, lost, and identifiable form, which
leads to misuse. Proposed system is divided into two parts. One is Biometrics
and multi biometrics. A biometric system is a
recognition system, which makes a personal identification by determining the
authenticity of a specific physiological or behavioral characteristic possessed
by the user. This method of identification is preferred over traditional
methods involving passwords and PIN numbers for various reasons.The people to
be identified is required to be physically present at the point of
identification. Identification based on biometric techniques eliminates the
need to remember a password or carry an identity. A multi-biometrics system is
obtained by the integration of multiple individual biometrics models. A numbers
of models integrating hand geometry, keystroke dynamics, face and iris
recognition system have flooded the markets in recent years. Here we present a multi-model system that
can be embedded in a mobile phone, which integrates fingerprint, voice and
facial scanning. It shuts down the problem of high False Rejection Rate of
facial scanners, eliminates the fooling of fingerprint scanners and overshadows
the disadvantage of voice recognition models.
INTRODUCTION:
Mobile phones have ceased to be
exclusive status of the high class and, today has become an indispensable
electronic gadget in the life of many. The main reason for their higher market
penetrations in recent days is their incredible array of functions at an
affordable cost. Apart from setting reminders and sending e-mails, they are
also used in
- E-business
- SMS messaging
- Chatting
- Telemedicine and teleconferencing
Thus, these phones with
wide roaming facility prove to be a really versatile device.
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CONCLUSION:
Thus, embedding multi-biometrics in
mobile phones is cost effective since no special hardware is required. Thus,
this mobile phone will provide more security for e-business and e-transactions.
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