Detect Liveness Based on dynamic blood vessel pulsations and eye Movements

Project Member(s): Yu, X., Golzan, M.

Funding or Partner Organisation: Defence Science and Technology Group of the Department of Defence (DAIRNet - AI for Decision Making)
Defence Science and Technology Group of the Department of Defence (DAIRNet - AI for Decision Making)

Start year: 2022

Summary: Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in securing face recognition systems from presentation attacks (PAs). Many FAS methods often suffer severe performance degradation when applied to new attacks. Although existing methods have employed commercial visible RGB, near infrared, short-wave infrared, light field, and four-directional polarized cameras for FAS, the trained AI models may easily overfit on several specific domains and attack types, and are vulnerable to unseen domains and unknown attacks. In contrast, this project aims to investigate eye vessels and movemovents based anti-spoofing techniques as a complementary measure to FAS.

FOR Codes: Emerging defence technologies, Computer vision and multimedia computation, Vision science

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.