Face Re-morphing: Differential Morphing Attack Detection via Feature-Space Similarity Changes
arXiv:2608.13858v1 Announce Type: new Abstract: Face morphing attacks pose a serious threat to face recognition systems because a single morphed document image can be matched to multiple contributors. Differential morphing attack detection (D-MAD) addresses this threat by comparing a document image with a trusted live image, but existing methods often rely on static feature differences, constituent-face reconstruction, or multi-cue fusion. This paper proposes Face Re-morphing, a D-MAD method that uses the feature-space response to an additional morphing operation as a detection cue. Given a document image and a trusted live image, the proposed method generates a re-morphed image and uses the change between the document--live and live--re-morphed cosine similarities as the detection score. Experiments on FRLL-Morphs and FEI Morph show that the proposed cue is effective across different morphing conditions, re-morphing methods, and face recognition models. Comparisons with existing methods show favorable results on AMSL and indicate that the proposed method performs well under the Criminal condition on FEI Morph Version~1, particularly when using MorDIFF. These results indicate that re-morphing-induced similarity change provides a complementary cue for D-MAD.
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[Submitted on 14 Aug 2026]
Title:Face Re-morphing: Differential Morphing Attack Detection via Feature-Space Similarity Changes
View a PDF of the paper titled Face Re-morphing: Differential Morphing Attack Detection via Feature-Space Similarity Changes, by Jie Jin and 2 other authors
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Abstract:Face morphing attacks pose a serious threat to face recognition systems because a single morphed document image can be matched to multiple contributors. Differential morphing attack detection (D-MAD) addresses this threat by comparing a document image with a trusted live image, but existing methods often rely on static feature differences, constituent-face reconstruction, or multi-cue fusion. This paper proposes Face Re-morphing, a D-MAD method that uses the feature-space response to an additional morphing operation as a detection cue. Given a document image and a trusted live image, the proposed method generates a re-morphed image and uses the change between the document--live and live--re-morphed cosine similarities as the detection score. Experiments on FRLL-Morphs and FEI Morph show that the proposed cue is effective across different morphing conditions, re-morphing methods, and face recognition models. Comparisons with existing methods show favorable results on AMSL and indicate that the proposed method performs well under the Criminal condition on FEI Morph Version~1, particularly when using MorDIFF. These results indicate that re-morphing-induced similarity change provides a complementary cue for D-MAD.
Comments: accepted to IJCB2026
Subjects:
Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2608.13858 [cs.CV]
(or arXiv:2608.13858v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2608.13858
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Tetsushi Ohki [view email] [v1] Fri, 14 Aug 2026 01:10:53 UTC (1,985 KB)
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