Published in CiiT International Journal of Programmable Device Circuits and Systems; 6(6):.162 – 16, 08/2014
Abstract
With
the rapid advancement in technology, smart homes have become applicable
and so the need arise to solve the security challenges that are
accompanied with its operation. Passwords and identity cards have been
used as traditional authentication mechanisms in home environments,
however, the rise of misuse of these mechanisms are proving them to be
less reliable. For instance, ID cards can be misplaced, copied or
counterfeited and being misused. Conversely, studies have shown that
biometrics authentication systems particularly Iris Recognition
Technology (IRT) and Fingerprint Recognition Technology (FRT) have the
most reliable mechanisms to date providing tremendous accuracy and
speed. As the technology becomes less expensive, application of IRT&
FRT in smart-homes becomes more reliable and appropriate solution for
security challenges. In this paper, we present our approach to design an
authentication system for smart homes based on IRT, FRT and
ARM7TDMI-S.The system employs two biometrics mechanisms for high
reliability whereby initially, system users must enroll their
fingerprints and eyes into the camera. Iris and fingerprint biometrics
are scanned and the images are stored in the database. In the stage of
authentication, FRT and IRT fingerprint scan and analyze points of the
user's current input iris and fingerprint and match with the database
contents. If one or more captured images do not match with the one in
the database, then the system will not give authorization.
Citation:
Fredrick R. Ishengoma, “Authentication System for Smart Homes
Based on ARM7TDMI-S and IRIS-Fingerprint Recognition Technologies”, CiiT
International Journal of Programmable Device Circuits and Systems, Print:
ISSN 0974 – 973X & Online: ISSN 0974 – 9624, Vol. 6 – Issue 6, pp.162
– 167, August 2014.
Link: http://ciitresearch.org/dl/index.php/pdcs/issue/view/643
Link: http://ciitresearch.org/dl/index.php/pdcs/issue/view/643
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