17 citations · 57 across the 22 of their papers we have counts for
23 papers
SpectraIrisPAD: Leveraging Vision Foundation Models for Spectrally Conditioned Multispectral Iris Presentation Attack Detection
Raghavendra Ramachandra, Sushma Venkatesh
Iris recognition is widely recognized as one of the most accurate biometric modalities. However, its growing deployment in real-world applications raises significant concerns regar…
Empowering Morphing Attack Detection using Interpretable Image-Text Foundation Model
Sushrut Patwardhan, Raghavendra Ramachandra, Sushma Venkatesh
Morphing attack detection has become an essential component of face recognition systems for ensuring a reliable verification scenario. In this paper, we present a multimodal learni…
Towards Zero-Shot Differential Morphing Attack Detection with Multimodal Large Language Models
Ria Shekhawat, Hailin Li, Raghavendra Ramachandra +1
Leveraging the power of multimodal large language models (LLMs) offers a promising approach to enhancing the accuracy and interpretability of morphing attack detection (MAD), espec…
Biometrics in Extended Reality: A Review
Ayush Agarwal, Raghavendra Ramachandra, Sushma Venkatesh +1
In the domain of Extended Reality (XR), particularly Virtual Reality (VR), extensive research has been devoted to harnessing this transformative technology in various real-world ap…
MorCode: Face Morphing Attack Generation using Generative Codebooks
Aravinda Reddy PN, Raghavendra Ramachandra, Sushma Venkatesh +3
Face recognition systems (FRS) can be compromised by face morphing attacks, which blend textural and geometric information from multiple facial images. The rapid evolution of gener…
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…
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…
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…
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…
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…
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…
ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
Naser Damer, Kiran Raja, Marius Süßmilch +6
Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like bor…
Face Morphing Attack Generation & Detection: A Comprehensive Survey
Sushma Venkatesh, Raghavendra Ramachandra, Kiran Raja +1
The vulnerability of Face Recognition System (FRS) to various kind of attacks (both direct and in-direct attacks) and face morphing attacks has received a great interest from the b…
MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN
Haoyu Zhang, Sushma Venkatesh, Raghavendra Ramachandra +3
Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Mor…
Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? -- Vulnerability and Detection
Sushma Venkatesh, Haoyu Zhang, Raghavendra Ramachandra +3
The primary objective of face morphing is to combine face images of different data subjects (e.g. a malicious actor and an accomplice) to generate a face image that can be equally…
On the Influence of Ageing on Face Morph Attacks: Vulnerability and Detection
Sushma Venkatesh, Kiran Raja, Raghavendra Ramachandra +1
Face morphing attacks have raised critical concerns as they demonstrate a new vulnerability of Face Recognition Systems (FRS), which are widely deployed in border control applicati…
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…
Morton Filters for Superior Template Protection for Iris Recognition
Kiran B. Raja, R. Raghavendra, Sushma Venkatesh +1
We address the fundamental performance issues of template protection (TP) for iris verification. We base our work on the popular Bloom-Filter templates protection & address the key…
Smartphone Multi-modal Biometric Authentication: Database and Evaluation
Raghavendra Ramachandra, Martin Stokkenes, Amir Mohammadi +6
Biometric-based verification is widely employed on the smartphones for various applications, including financial transactions. In this work, we present a new multimodal biometric d…
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…