mlsanityData to 7 Oct 2026

Reflection Analysis for Face Morphing Attack Detection

arXiv 1807.02030 ↗First posted 5 Jul 2018cs.CV cs.CRcited by 11

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Abstract (arXiv)

A facial morph is a synthetically created image of a face that looks similar to two different individuals and can even trick biometric facial recognition systems into recognizing both individuals. This attack is known as face morphing attack. The process of creating such a facial morph is well documented and a lot of tutorials and software to create them are freely available. Therefore, it is mandatory to be able to detect this kind of fraud to ensure the integrity of the face as reliable biometric feature. In this work, we study the effects of face morphing on the physically correctness of the illumination. We estimate the direction to the light sources based on specular highlights in the eyes and use them to generate a synthetic map for highlights on the skin. This map is compared with the highlights in the image that is suspected to be a fraud. Morphing faces with different geometries, a bad alignment of the source images or using images with different illuminations, can lead to inconsistencies in reflections that indicate the existence of a morphing attack.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jul 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 1; 2023: 3; 2024: 0; 2025: 1; 2026: 1.

11 papers.

  1. 2021Attention Aware Wavelet-based Detection of Morphed Face Imagescited by 14
  2. 2023Face Morphing Attack Detection with Denoising Diffusion Probabilistic Modelscited by 12
  3. 2021Detection of Morphed Face Images Using Discriminative Wavelet Sub-bandscited by 10
  4. 2021Single Morphing Attack Detection using Feature Selection and Visualisation based on Mutual Informationcited by 8
  5. 2022Face Morphing Attack Detection Using Privacy-Aware Training Datacited by 7
  6. 2025SelfMAD: Enhancing Generalization and Robustness in Morphing Attack Detection via Self-Supervised Learningcited by 7
  7. 2021Focused LRP: Explainable AI for Face Morphing Attack Detectioncited by 6
  8. 2021Algorithmic Fairness in Face Morphing Attack Detectioncited by 5
  9. 2023Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniquescited by 3
  10. 2023Towards Better Morphed Face Images without Ghosting Artifactscited by 1
  11. 2026Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detectioncited by 0