Raghavendra, M.Omprakash, P.Mukesh, B.R.2026-02-06202135th AAAI Conference on Artificial Intelligence, AAAI 2021, 2021, Vol.18, , p. 15873-15874https://doi.org/10.1609/aaai.v35i18.17933https://idr.nitk.ac.in/handle/123456789/30193Deep learning algorithms are widely used to extend modern biometric authentication mechanisms in resource-constrained environments like smartphones, providing ease-of-use and user comfort, while maintaining a non-invasive nature. In this paper, an alternative is proposed, that uses both facial recognition and the unique movements of that particular face while uttering a password. The proposed model is language independent, the password doesn't necessarily need to be a set of meaningful words or numbers, and also, is a contact-less system. When evaluated on the standard MIRACL-VC1 dataset, the proposed model achieved a testing accuracy of 98.1%, underscoring its effectiveness. © © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved