5 citations · 10 across the 16 of their papers we have counts for
16 papers
3D Face Morphing Attack Generation using Non-Rigid Registration
Jag Mohan Singh, Raghavendra Ramachandra
Face Recognition Systems (FRS) are widely used in commercial environments, such as e-commerce and e-banking, owing to their high accuracy in real-world conditions. However, these s…
VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection
Raghavendra Ramachandra, Narayan Vetrekar, Sushma Venkatesh +3
Facial biometrics are an essential components of smartphones to ensure reliable and trustworthy authentication. However, face biometric systems are vulnerable to Presentation Attac…
MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement
Aravinda Reddy PN, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao +1
Face-morphing attacks are a growing concern for biometric researchers, as they can be used to fool face recognition systems (FRS). These attacks can be generated at the image level…
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network
Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam +1
Biometric authentication, which utilizes contactless features, such as forehead patterns, has become increasingly important for identity verification and access management. The pro…
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data
Meiling Fang, Marco Huber, Julian Fierrez +21
This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 Internation…
Fingervein Verification using Convolutional Multi-Head Attention Network
Raghavendra Ramachandra, Sushma Venkatesh
Biometric verification systems are deployed in various security-based access-control applications that require user-friendly and reliable person verification. Among the different b…