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The Rise of Data-Driven Models in Presentation Attack Detection
Biometric systems are prevalent in access control but are vulnerable to frauds. A typical attempt of violating them is through …
Luis A. M. Pereira
,
Allan Pinto.
,
Fernanda A. Andaló
,
Alexandre M. Ferreira
,
Bahram Lavi
,
Aurea Soriano-Vargas
,
Marcos V. M. Cirne
,
Anderson Rocha
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DOI
Analysis of intrinsic and extrinsic properties of biometric samples for presentation attack detection
Recent advances in biometrics, information forensics, and security have improved the recognition effectiveness of biometric systems. …
Allan Pinto.
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Deep Learning in Biometrics
This chapter explores data-driven approaches to presentation attack detection for three biometric modalities: face, iris, and …
Allan Pinto.
,
Helio Pedrini
,
Michael Krumdick
,
Benedict Becker
,
Adam Czajka
,
Kevin W. Bowyer
,
Anderson Rocha
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Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
Biometrics systems have significantly improved person identification and authentication, playing an important role in personal, …
D. Menotti
,
G. Chiachia
,
A. Pinto
,
W. Robson Schwartz
,
H. Pedrini
,
A. Xavier Falcao
,
A. Rocha
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DOI
A countermeasure method for video-based face spoofing attacks
Allan Pinto.
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