Secured Banking operations with face-based Automated Teller Machine
Olutola Fagbolu, Olumide Sunday Adewale, Boniface Kayode Alese, Osuolale A. Festus · 2014
With the introduction of the newest Automated Teller Machine (ATM) at Royal Bank of Scotland which operates without a card or authentication by entering Personal Identification Number (PIN) to withdraw cash up to £100, a more secured ATM can be designed and implemented with more secured feature of biometrics- facial recognition as PIN. Security is an indispensable issue in banking operations; with the advent of technology such as e-banking, mobile banking etc security has become an issue that needs utmost paramountcy. Principal Component Analysis (PCA) are employed in face recognition system, it seeks to capture the variations in a collection of face images and use them to encode and compare images of individual faces by using statistical dimensionality reduction method to produce the optimal linear squares decomposition of a training set and eigen faces. This research would afford the entire society more reliable ATM model and incidence of fraud which have decline the customer confidence on ATMs would be obliterated.