ABSTRACT

This thesis focused on the Design and Development of a Bank Verification and Authentication System using Quick Response Code (QR-Code). The traditional method of verification and authentication system for bank transactions has been using the username and password method. These password methods are most of the times encrypted with hash and Message Digest (MD5). This system is prone to several threats including lost and stolen passwords which are readable by humans. The system cookies have the ability to save the username and password which sometime possess several hacking threat and theft. String encryption actually uses a specific mathematical formula which can be decoded by black hackers. The designed system concentrates on machine capabilities rather than human ability and this new system used an encrypted image readable by camera. The spiral method was used as the implementation model. The account holder can make payments by generating dynamic QR-Codes which often presented as payment token for business transactions. The system accepts the account number and amount to generate a specific image QR-Code for payment to the beneficiary. In this system, accounts are debited and credited through different system users. The framework is python flask and the database model is the SQLite, whereas the Hyper Text Markup Language (HTML 5) was used for front end coding. The results obtained indicated that the designed system generated a dynamic QR-Code for bank transactions either by debiting or crediting the beneficiary accounts. Also, the users have access to the dashboard through the use of QR-Code generated by the administrator.