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Authentication based on face recognition under uncontrolled conditions

Tavakolian, Niloofar, Nazemi, Azadeh orcid logoORCID: 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.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:occlusion; face authentication; face identification; face verification; mask projection; Training Testing; Face recognition; Feature extraction; , Face; Image color analysis
DCU Faculties and Centres:UNSPECIFIED
Published in: 2017 Artificial Intelligence and Signal Processing Conference (AISP), Proceedings of the. . IEEE.
Official URL:https://doi.org/10.1109/AISP.2017.8324120
Copyright Information:© 2017 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23042
Deposited On:27 Feb 2019 15:58 by Azadeh Nazemi . Last Modified 03 Sep 2020 15:59

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