A FACE-BASED ATM IDENTIFICATION SECURITY MODEL FOR FINANCIAL INSTITUTIONS
A FACE-BASED ATM IDENTIFICATION SECURITY MODEL FOR FINANCIAL INSTITUTIONS
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Date
2011-12
Authors
FRED, HENRY KAYODE
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Abstract
There is the need for additional strengthening of security system in the present
days Automatic Teller Machine (ATM) in banks. The current card and pin in use
is not good enough to ensure the identity of the customer given the existing high
rate of fraud. This very high rate of fraud care be minimised by an additional
biometric system. A face recognition system is thereby proposed, implemented
and tested in this thesis study. A face classification method that uses the
eigenfaces approach with principal component analysis is integrated in the
proposed system. The proposed system is designed to be able to capture and
recognise faces within certain environmental condition. Experimental results are
given to demonstrate the viability of the proposed face recognition system.
Description
A THESIS SUBMITTED TO THE
POSTGRADUATE SCHOOL,
AHMADU BELLO UNIVERSITY, ZARIA
NIGERIA
IN PARTIAL FULFILMENT FOR THE AWARD
OF MASTERS OF SCIENCE IN
COMPUTER SCIENCE
DEPARTMENT OF MATHEMATICS
AHMADU BELLO UNINIVERSITY, ZARIA
NIGERIA
Keywords
FACE-BASED,, ATM,, IDENTIFICATION,, SECURITY,, MODEL,, FINANCIAL, INSTITUTIONS.