Biometric Authentication for the Web: A Face Recognition System

Abstract

This bachelor thesis presents the design and implementation of a proof of concept web application for biometric authentication using face recognition. The goal was to investigate if face recognition could function as an accurate, user-friendly and secure alternative to password based login systems on web platforms. The project included developing a face recognition pipeline using existing open-source models, with added features such as anti-spoofing and encryption for data protection. The system was implemented as a web application and was evaluated through a set of user tests and performance tests on datasets. The results show that the system achieves a high accuracy and usability, even though spoofing remains as an issue. Future work includes improving the spoofing detection, fine-tuning the models for better generalization and developing the system into a scalable authentication API.