5 papers
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…
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…
Sound-Print: Generalised Face Presentation Attack Detection using Deep Representation of Sound Echoes
Raghavendra Ramachandra, Jag Mohan Singh, Sushma Venkatesh
Facial biometrics are widely deployed in smartphone-based applications because of their usability and increased verification accuracy in unconstrained scenarios. The evolving appli…
Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network
Raghavendra Ramachandra, Sushma Venkatesh, Guoqiang Li +1
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 unwant…
Vulnerability of Face Morphing Attacks: A Case Study on Lookalike and Identical Twins
Raghavendra Ramachandra, Sushma Venkatesh, Gaurav Jaswal +1
Face morphing attacks have emerged as a potential threat, particularly in automatic border control scenarios. Morphing attacks permit more than one individual to use travel documen…