Face recognition based on general structure and angular face elements

Khoshnevisan, Erfan; Hassanpour, Hamid; AlyanNezhadi, Mohammad M.

doi:10.1007/s11042-024-18897-3

Multimed Tools Appl

2024

DOI: 10.1007/s11042-024-18897-3

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Face recognition based on general structure and angular face elements

Erfan Khoshnevisan,

Hamid Hassanpour,

Mohammad M. AlyanNezhadi

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2024

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Cited by 1 publication

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Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images

Tanfoni,

Ceroni,

Marziali

et al. 2024

Electronics

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Facial biometrics are widely used to reliably and conveniently recognize people in photos, in videos, or from real-time webcam streams. It is therefore of fundamental importance to detect synthetic faces in images in order to reduce the vulnerability of biometrics-based security systems. Furthermore, manipulated images of faces can be intentionally shared on social media to spread fake news related to the targeted individual. This paper shows how fake face recognition models may mainly rely on the information contained in the background when dealing with generated faces, thus reducing their effectiveness. Specifically, a classifier is trained to separate fake images from real ones, using their representation in a latent space. Subsequently, the faces are segmented and the background removed, and the detection procedure is performed again, observing a significant drop in classification accuracy. Finally, an explainability tool (SHAP) is used to highlight the salient areas of the image, showing that the background and face contours crucially influence the classifier decision.

show abstract

Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images

Tanfoni,

Ceroni,

Marziali

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

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Face recognition based on general structure and angular face elements

Cited by 1 publication

References 48 publications

Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images

Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images

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