54 citations · 195 across the 76 of their papers we have counts for
12 papers · 1 filter
Does complimentary information from multispectral imaging improve face presentation attack detection?
Narayan Vetrekar, Raghavendra Ramachandra, Sushma Venkatesh +2
Presentation Attack Detection (PAD) has been extensively studied, particularly in the visible spectrum. With the advancement of sensing technology beyond the visible range, multisp…
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…
ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping
Aravinda Reddy PN, K. Sreenivasa Rao, Raghavendra Ramachandra +1
We present a novel face swapping method using the progressively growing structure of a pre-trained StyleGAN. Previous methods use different encoder decoder structures, embedding in…
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…
Deep Features for Contactless Fingerprint Presentation Attack Detection: Can They Be Generalized?
Hailin Li, Raghavendra Ramachandra
The rapid evolution of high-end smartphones with advanced high-resolution cameras has resulted in contactless capture of fingerprint biometrics that are more reliable and suitable…
Deep Learning based Fingerprint Presentation Attack Detection: A Comprehensive Survey
Hailin Li, Raghavendra Ramachandra
The vulnerabilities of fingerprint authentication systems have raised security concerns when adapting them to highly secure access-control applications. Therefore, Fingerprint Pres…
Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
Jag Mohan Singh Sushma Venkatesh Raghavendra Ramachandra
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…
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…
A Latent Fingerprint in the Wild Database
Xinwei Liu, Kiran Raja, Renfang Wang +9
Latent fingerprints are among the most important and widely used evidence in crime scenes, digital forensics and law enforcement worldwide. Despite the number of advancements repor…
Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study
Raghavendra Ramachandra, Sushma Venkatesh, Naser Damer +2
Face morphing attack detection is emerging as an increasingly challenging problem owing to advancements in high-quality and realistic morphing attack generation. Reliable detection…
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…