Abstract
With the increasing demand for online banking lack of security in the system has been felt due to a tremendous increase in fraudulent activities. Facial recognition is one of the numerous ways that banks can increase security and accessibility. This paper proposes to inspect the use of facial recognition for login and for banking purposes. The potency of our system is that it provides strong security, username and password verification, face recognition and pin for a successful transaction. Multilevel Security of this system will reduce problems of cybercrime and maintain the safety of the internet banking system. The end result is a strengthened authentication system that will escalate the confidence of customers in the banking sector.
Highlights
In the past few years, banking process was done inside the large rooms of building which was brisk task for both the customers and the banking staff but people are using online banking as opposed of visiting the bank which grant ease for customers to perform transactions
We propose to inspect the use of facial recognition for login and for banking purposes
This paper proposes an authentication system that we designed it by combining two parts: - first part is face recognition and the second part is the Banking system
Summary
In the past few years, banking process was done inside the large rooms of building which was brisk task for both the customers and the banking staff but people are using online banking as opposed of visiting the bank which grant ease for customers to perform transactions. We propose to inspect the use of facial recognition for login and for banking purposes. This paper proposes an authentication system that we designed it by combining two parts: - first part is face recognition and the second part is the Banking system. We are using Python language and OpenCV library for designing the face recognition and MySQL for the bank records. In this System, when user is trying to open his/her account firstly it will recognize the user's face and trying to match that this user is the correct one or fake by matching with faces data stored in the database.
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