Web-based and cash-point/automated teller machine (ATM) fraud has become a common occurrence where third parties gain unauthorized access to customer’s fund. A Knowledge management (KM) transformation principles, through the introduction of biometric systems over a communication system could be adopted to enhance security levels and intelligence smart system. A unique biometric system widely adopted in various authentication applications is the fingerprint recognition. This biometric system could be introduced to Nigeria banking system to achieve desired security height for verification and authentication performance. This study present a minutiae-based features extraction to be incorporated into fingerprint recognition security for banking transaction authentication and established biometric technology in the conceptual knowledge management (KM) transformation.
|Journal||International Journal of Engineering Sciences & Research Technology (IJESRT)|
|Publication status||Published - Oct 2015|