5 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…