A biometric face recognition for web-based ATM verification system

ATMs are essential fmancial services capable of users access to cash, transfers, and bill payments. The increasing demand for secure and efficient authentication mechanisms in ATM-based systems demands the creation of new technologies to improve user verification. This study aims to construct a biometric face recognition system incorporated into a web-based ATM verification system. The objectives are to identify the features of ATM based system using face recognition, to develop a model for a biometric face recognition for web-based ATM verification system and to evaluate the functionality and usability of the system. Methodology used is the Waterfall model built through the laravel framework, PHP, CSS, and MySQL. The recommended biometric face recognition technology increased consumer security and convenience through a web-based ATM verification system. It reduces the risks of unauthorized access and fraud by eliminating traditional PIN-based and fingerprint authentication. The model was tested using User Acceptance Testing (UAT) involving 20 respondents, and convinced the proposed model contributes the functionality of biometric face recognition and ease of use the website. The outcome of this the model can be used by the user to gain the security level through the face biometric recognition technology.