17 citations · 57 across the 22 of their papers we have counts for
3 papers · 1 filter
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…