Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network
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Abstract (arXiv)
Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwanted consequences, both for security and society. In this paper, we present a new reference-based/Differential Morphing Attack Detection (MAD) method to detect newborn morphing images using Wavelet Scattering Network (WSN). We propose a two-layer WSN with 250 × 250 pixels and six rotations of wavelets per layer, resulting in 577 paths. The proposed approach is validated on a dataset of 852 bona fide images and 2460 morphing images constructed using face images of 42 unique newborns. The obtained results indicate a gain of over 10% in detection accuracy over other existing D-MAD techniques.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 12 of its 26 references that are in the map. First posted on arXiv 2 May 2023.
Builds on
12 of 26 references.
References · 12
- 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 903
- 2020Face Morphing Attack Generation & Detection: A Comprehensive Surveycited by 64
- 2013Deep Scattering Spectrumcited by 52
- 2020Deep Face Representations for Differential Morphing Attack Detectioncited by 46
- 2019Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectancecited by 15
- 2022Analyzing Human Observer Ability in Morphing Attack Detection -- Where Do We Stand?cited by 13
- 2020Differential Morphed Face Detection Using Deep Siamese Networkscited by 12
- 2021Conditional Identity Disentanglement for Differential Face Morph Detectioncited by 12
- 2021Detection of Morphed Face Images Using Discriminative Wavelet Sub-bandscited by 10
- 2022Deep Composite Face Image Attacks: Generation, Vulnerability and Detectioncited by 6
- 2021Algorithmic Fairness in Face Morphing Attack Detectioncited by 5
- 2022Reliable Face Morphing Attack Detection in On-The-Fly Border Control Scenario with Variation in Image Resolution and Capture Distancecited by 5
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Citing papers per year: 2025: 2.
2 papers.