A model of two-factor authentication using facial recognition in automated teller machines
Abstract
The general idea of this research work is to use facial recognition technique to reinforce security
on Automatic Teller Machines. The use of face recognition is to authenticate an individual by
identifying and verifying him/her in an existing and up
–
to
-
d
ate database of peoples face images.
The level of security in ATM‘s has changed tremendously since their introduction in the late
70‘s. This has caused them to be very vulnerable because technology has brought in a new kind
of attackers who have been using
the advancement of technology to compromise their security.
Something has to be done to guarantee security when it comes to people‘s funds and other
confidential information.
Face recognition is a technique that uses application software to determine the
identity of an
individual and is within the category of biometrics which is defined as ―the automatic
recognition of a person using distinguishing traits‖ (RAND, 2003). Face recognition is among
other biometrics including iris recognition, fingerprint, h
and print and retina scans. This research
provides a review of face
-
based authentication in accessing critical and confidential information
in computer systems, the underlying motivation being to provide the latest review of the existing
literature on faci
al recognition and to bring to the limelight, the studies of computer vision in
recognition of human faces. In order to provide a comprehensive review,
we have provided
detailed descriptions of representative methods and related topics such as issues of (l
ighting)
illumination and pose variation.
Publisher
University of Nairobi