A FACE-BASED ATM IDENTIFICATION SECURITY MODEL FOR FINANCIAL INSTITUTIONS

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dc.contributor.authorFRED, HENRY KAYODE
dc.date.accessioned2014-02-19T09:51:44Z
dc.date.available2014-02-19T09:51:44Z
dc.date.issued2011-12
dc.descriptionA 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 NIGERIAen_US
dc.description.abstractThere 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.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/2075
dc.language.isoenen_US
dc.subjectFACE-BASED,en_US
dc.subjectATM,en_US
dc.subjectIDENTIFICATION,en_US
dc.subjectSECURITY,en_US
dc.subjectMODEL,en_US
dc.subjectFINANCIALen_US
dc.subjectINSTITUTIONS.en_US
dc.titleA FACE-BASED ATM IDENTIFICATION SECURITY MODEL FOR FINANCIAL INSTITUTIONSen_US
dc.typeThesisen_US
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