activity
20192024
most citedMorphing Attack Detection -- Database, Evaluation Platform and Benchmarking

8 citations · 10 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2022

Deep Composite Face Image Attacks: Generation, Vulnerability and Detection

Jag Mohan Singh, Raghavendra Ramachandra

Face manipulation attacks have drawn the attention of biometric researchers because of their vulnerability to Face Recognition Systems (FRS). This paper proposes a novel scheme to…

cs.CV2022

Reliable Face Morphing Attack Detection in On-The-Fly Border Control Scenario with Variation in Image Resolution and Capture Distance

Jag Mohan Singh, Raghavendra Ramachandra

Face Recognition Systems (FRS) are vulnerable to various attacks performed directly and indirectly. Among these attacks, face morphing attacks are highly potential in deceiving aut…

cs.CV2022★ 1 cited

3D Face Morphing Attacks: Generation, Vulnerability and Detection

Jag Mohan Singh, Raghavendra Ramachandra

Face Recognition systems (FRS) have been found to be vulnerable to morphing attacks, where the morphed face image is generated by blending the face images from contributory data su…

cs.CV2020★ 8 cited

Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking

Kiran Raja, Matteo Ferrara, Annalisa Franco +18

Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as indep…

cs.CV2020

A Survey on Unknown Presentation Attack Detection for Fingerprint

Jag Mohan Singh, Ahmed Madhun, Guoqiang Li +1

Fingerprint recognition systems are widely deployed in various real-life applications as they have achieved high accuracy. The widely used applications include border control, auto…

cs.CV2019

Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition

Jag Mohan Singh, Sushma Venkatesh, Kiran B. Raja +2

Despite the high biometric performance, finger-vein recognition systems are vulnerable to presentation attacks (aka., spoofing attacks). In this paper, we present a new and robust…

cs.CV2019★ 1 cited

Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance

Jag Mohan Singh, Raghavendra Ramachandra, Kiran B. Raja +1

Face recognition is widely employed in Automated Border Control (ABC) gates, which verify the face image on passport or electronic Machine Readable Travel Document (eMTRD) against…