11 citations · 21 across the 12 of their papers we have counts for
7 papers · 1 filter
StableMorph: High-Quality Face Morph Generation with Stable Diffusion
Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1
Face morphing attacks threaten the integrity of biometric identity systems by enabling multiple individuals to share a single identity. To develop and evaluate effective morphing a…
Second Competition on Presentation Attack Detection on ID Card
Juan E. Tapia, Mario Nieto, Juan M. Espin +30
This work summarises and reports the results of the second Presentation Attack Detection competition on ID cards. This new version includes new elements compared to the previous on…
Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer
Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja +1
Face morphing attacks have posed severe threats to Face Recognition Systems (FRS), which are operated in border control and passport issuance use cases. Correspondingly, morphing a…
Demographic Variability in Face Image Quality Measures
Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1
Face image quality assessment (FIQA) algorithms are being integrated into online identity management applications. These applications allow users to upload a face image as part of…
FaceOracle: Chat with a Face Image Oracle
Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1
A face image is a mandatory part of ID and travel documents. Obtaining high-quality face images when issuing such documents is crucial for both human examiners and automated face r…
Radial Distortion in Face Images: Detection and Impact
Wassim Kabbani, Tristan Le Pessot, Kiran Raja +2
Acquiring face images of sufficiently high quality is important for online ID and travel document issuance applications using face recognition systems (FRS). Low-quality, manipulat…
Eye Sclera for Fair Face Image Quality Assessment
Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1
Fair operational systems are crucial in gaining and maintaining society's trust in face recognition systems (FRS). FRS start with capturing an image and assessing its quality befor…