Face Recognition as a Method of Authentication in a Web-Based System
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
arXiv preprint arXiv
Abstract
Online information systems currently heavily
rely on the username and password traditional method
for protecting information and controlling access. With
the advancement in biometric technology and popularity
of fields like AI and Machine Learning, biometric security
is becoming increasingly popular because of the usability
advantage. This paper reports how machine learning based
face recognition can be integrated into a web-based system
as a method of authentication to reap the benefits of
improved usability. This paper includes a comparison of
combinations of detection and classification algorithms
with FaceNet for face recognition. The results show that
a combination of MTCNN for detection, Facenet for
generating embeddings, and LinearSVC for classification
out performs other combinations with a 95% accuracy.
The resulting classifier is integrated into the web-based
system and used for authenticating users.
Description
Keywords
FaceNet, MTCNN, Face Recognition, Machine Learning, Biometric Authentication, LinearSVC
Citation
Mugalu, B. W., Wamala, R. C., Serugunda, J., & Katumba, A. (2021). Face Recognition as a Method of Authentication in a Web-Based System. arXiv preprint arXiv:2103.15144.