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20172020
most citedFingerprint Spoof Generalization

10 citations · 15 across the 3 of their papers we have counts for

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cs.CV20201 cited

Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach

Steven A. Grosz, Tarang Chugh, Anil K. Jain

The vulnerability of automated fingerprint recognition systems to presentation attacks (PA), i.e., spoof or altered fingers, has been a growing concern, warranting the development…

cs.CV2019

Fingerprint Spoof Detection: Temporal Analysis of Image Sequence

Tarang Chugh, Anil K. Jain

We utilize the dynamics involved in the imaging of a fingerprint on a touch-based fingerprint reader, such as perspiration, changes in skin color (blanching), and skin distortion,…

cs.CV2019

Universal Material Translator: Towards Spoof Fingerprint Generalization

Rohit Gajawada, Additya Popli, Tarang Chugh +2

Spoof detectors are classifiers that are trained to distinguish spoof fingerprints from bonafide ones. However, state of the art spoof detectors do not generalize well on unseen sp…

cs.CV201910 cited

Fingerprint Spoof Generalization

Tarang Chugh, Anil K. Jain

We present a style-transfer based wrapper, called Universal Material Generator (UMG), to improve the generalization performance of any fingerprint spoof detector against spoofs mad…

cs.CV2019

OCT Fingerprints: Resilience to Presentation Attacks

Tarang Chugh, Anil K. Jain

Optical coherent tomography (OCT) fingerprint technology provides rich depth information, including internal fingerprint (papillary junction) and sweat (eccrine) glands, in additio…

cs.CV2018

Fingerprint Presentation Attack Detection: Generalization and Efficiency

Tarang Chugh, Anil K. Jain

We study the problem of fingerprint presentation attack detection (PAD) under unknown PA materials not seen during PAD training. A dataset of 5,743 bonafide and 4,912 PA images of…