Authentication based on face recognition under
uncontrolled conditions
Tavakolian, Niloofar, Nazemi, AzadehORCID: 0000-0002-1138-309X and Azimifar, Zohreh
(2017)
Authentication based on face recognition under
uncontrolled conditions.
In: 2017 Artificial Intelligence and Signal Processing Conference (AISP), 25-27 Oct 2017, Shiraz, Iran.
This paper describes a method to address is-
sues regarding uncontrolled conditions in face recognition. This
method using mask projection, extracts affecting factor from
the test sample and adds it to all normal training samples
then compares test sample with all synthetic affected training
samples. The method has been applied for multi-factor authentication/verification based on face biometric. Obtained results
indicate high accuracy in the lake of sufficient training samples
for each class(single sample classes).
of the claimed user.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
occlusion; face authentication; face identification; face verification; mask projection; Training Testing; Face recognition; Feature extraction; ,
Face; Image color analysis
Subjects:
UNSPECIFIED
DCU Faculties and Centres:
UNSPECIFIED
Published in:
2017 Artificial Intelligence and Signal Processing Conference (AISP), Proceedings of the.
.
IEEE.