54 citations · 195 across the 76 of their papers we have counts for
10 papers · 1 filter
Finger-NestNet: Interpretable Fingerphoto Verification on Smartphone using Deep Nested Residual Network
Raghavendra Ramachandra, Hailin Li
Fingerphoto images captured using a smartphone are successfully used to verify the individuals that have enabled several applications. This work presents a novel algorithm for fing…
SRTGAN: Triplet Loss based Generative Adversarial Network for Real-World Super-Resolution
Dhruv Patel, Abhinav Jain, Simran Bawkar +6
Many applications such as forensics, surveillance, satellite imaging, medical imaging, etc., demand High-Resolution (HR) images. However, obtaining an HR image is not always possib…
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…
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…
A Uniform Representation Learning Method for OCT-based Fingerprint Presentation Attack Detection and Reconstruction
Wentian Zhang, Haozhe Liu, Feng Liu +1
The technology of optical coherence tomography (OCT) to fingerprint imaging opens up a new research potential for fingerprint recognition owing to its ability to capture depth info…
Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data
Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2
The vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism. In biometric applications, the main motivation for using…
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
Marco Huber, Fadi Boutros, Anh Thi Luu +16
This paper presents a summary of the Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 International Joint Con…
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting
Sauradip Nag, Nisarg Shah, Anran Qi +1
In this paper we present a novel self-supervised method to anticipate the depth estimate for a future, unobserved real-world urban scene. This work is the first to explore self-sup…
Analyzing Human Observer Ability in Morphing Attack Detection -- Where Do We Stand?
Sankini Rancha Godage, Frøy Løvåsdal, Sushma Venkatesh +3
Few studies have focused on examining how people recognize morphing attacks, even as several publications have examined the susceptibility of automated FRS and offered morphing att…
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…