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20232025
most citedContactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach

2 citations · 4 across the 6 of their papers we have counts for

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cs.CV2025

rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator

Banafsheh Adami, Nima Karimian

Remote photoplethysmography (rPPG) offers a novel approach to noninvasive monitoring of vital signs, such as respiratory rate, utilizing a camera. Although several supervised and s…

cs.CV2025

GRU-AUNet: A Domain Adaptation Framework for Contactless Fingerprint Presentation Attack Detection

Banafsheh Adami, Nima Karimian

Although contactless fingerprints offer user comfort, they are more vulnerable to spoofing. The current solution for anti-spoofing in the area of contactless fingerprints relies on…

cs.CV20232 cited

Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach

Banafsheh Adami, Nima Karimian

Contactless fingerprint recognition offers a higher level of user comfort and addresses hygiene concerns more effectively. However, it is also more vulnerable to presentation attac…

cs.CV20231 cited

A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems

Banafsheh Adami, Sara Tehranipoor, Nasser Nasrabadi +1

With the increasing integration of smartphones into our daily lives, fingerphotos are becoming a potential contactless authentication method. While it offers convenience, it is als…

cs.CV20231 cited

Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)

Sandip Purnapatra, Humaira Rezaie, Bhavin Jawade +19

Liveness Detection (LivDet) is an international competition series open to academia and industry with the objec-tive to assess and report state-of-the-art in Presentation Attack De…