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Deep Features Extraction for Robust Fingerprint Spoofing Attack Detection Cover

Deep Features Extraction for Robust Fingerprint Spoofing Attack Detection

Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 1 (January 2019)
By: Gustavo Botelho de Souza,  Daniel Felipe da Silva Santos,  Rafael Gonçalves Pires,  Aparecido Nilceu Marana and  João Paulo Papa  
Open Access
|Aug 2018

Authors

Gustavo Botelho de Souza

gustavo.botelho@gmail.com

UFSCar - Federal University of São Carlos, São Carlos/SP, Brazil

Daniel Felipe da Silva Santos

danielfssantos1@gmail.com

UNESP - São Paulo State University, Bauru/SP, Brazil

Rafael Gonçalves Pires

rafapires@gmail.com

UFSCar - Federal University of São Carlos, São Carlos/SP, Brazil

Aparecido Nilceu Marana

nilceu@fc.unesp.br

UNESP - São Paulo State University, Bauru/SP, Brazil

João Paulo Papa

papa@fc.unesp.br

UNESP - São Paulo State University, Bauru/SP, Brazil
DOI: https://doi.org/10.2478/jaiscr-2018-0023
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Language: English
Page range: 41 - 49
Submitted on: Dec 13, 2017
Accepted on: Dec 20, 2017
Published on: Aug 20, 2018
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Restricted Boltzmann Machines,
Deep Boltzmann Machines,
Deep Learning,
Fingerprint Spoofing Detection,
Biometrics
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2018 Gustavo Botelho de Souza, Daniel Felipe da Silva Santos, Rafael Gonçalves Pires, Aparecido Nilceu Marana, João Paulo Papa, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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