Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology

Media reports have accused face recognition of being "biased", "sexist" and "racist". There is consensus in the research literature that face recognition accuracy is lower for females, who often have both a higher false match rate and a higher false non-match rate. Howe...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security 2022, Vol.17, p.127-137
Main Authors: Albiero, Vitor, Zhang, Kai, King, Michael C., Bowyer, Kevin W.
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
bias
Clustering
Datasets
Deep learning
Face recognition
facial morphology
fairness
Females
gender
Hair
hairstyle
Lighting
makeup
Pattern matching
Training
Training data
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