Paper Info
Title
Liveness Detection Using Gaze Collinearity
Abstract
This paper presents a liveness detection method based on tracking the gaze of the user of a face recognition system using a single camera. The user is required to follow a visual animation of a moving object on a display screen while his/her gaze is measured. The visual stimulus is designed to direct the gaze of the user to sets of collinear points on the screen. Features based on the measured collinearity of the observed gaze are then used to discriminate between live attempts at responding to this challenge and those conducted by "impostors" holding photographs and attempting to follow the stimulus. An initial set of experiments is reported that indicates the effectiveness of the proposed method in detecting this class of spoofing attacks.
Year
DOI
Venue
2012
10.1109/EST.2012.12
EST
Keywords
Field
DocType
gaze measurement,face recognition,liveness detection method,collinear point,biometrics,visual stimulus,computer animation,camera,moving object visual animation,visual animation,face liveness,display screen,measured collinearity,liveness detection,initial set,gaze collinearity,authorisation,gaze,collinear point sets,face recognition system,live attempt,spoofing attacks,user gaze tracking,face,visualization,feature extraction,security
Computer vision,Facial recognition system,Collinearity,Gaze,Spoofing attack,Computer science,Feature extraction,Animation,Artificial intelligence,Computer animation,Liveness
Conference
ISBN
Citations 
PageRank 
978-1-4673-2448-9
16
0.70
References 
Authors
6
3
Name
Order
Citations
PageRank
Asad Ali17612.91
Farzin Deravi229636.61
Sanaul Hoque39313.16