Application Of Multi Factored Biometric Measure For Data Security In Atm
i-manager’s Journal on Image Processing · 2021
Application of biometrics in computer security is nothing new and with the advancement of new age technologies, time has come that we make our ATM transactions more secured through biometric security processes. Currently, security of ATM transaction is based on card punch and PIN combination. This paper proposes a 3 layered security measure for ATM which may replace carrying today's plastic card. Starting with a PIN the proposed ATM system will apply face recognition as level two security measure and fingerprint recognition as level three security measure. Face recognition is the task of creating an identification of a face during a photo or video image against existing database. It begins with detection, then distinguishing human faces from other objects within the image, and then works on identification of the detected face. Fingerprint recognition is the process of determining a person's identity by examining their dermal ridges. It is economical technique and unique feature. This will help in making more informed choices, whether it's about determining motive, promoting deals, or avoiding security threats. The aim of this research is to develop an automatic face and fingerprint recognition system to reduce frauds while transacting with an ATM. The end result is an improved biometric ATM system, which will be a defensive strategy in the coming year and will increase consumer trust in the banking sector.