Fair Face Verification by Using Non-Sensitive Soft-Biometric Attributes

Fair Face Verification by Using Non-Sensitive Soft-Biometric Attributes

Facial recognition has been shown to have different accuracy for different demographic groups. When setting a threshold to achieve a specific False Match Rate (FMR) on a mixed demographic impostor distribution, some demographic groups can experience a significantly worse FMR. To mitigate this, some...

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Bibliographic Details
Main Authors: Esteban Villalobos, Domingo Mery, Kevin Bowyer
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Facial recognition
fairness
differential outcomes
soft-biometric attributes
Online Access:https://ieeexplore.ieee.org/document/9733349/

Internet

https://ieeexplore.ieee.org/document/9733349/

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