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On the Learning of Deep Local Features for Robust Face Spoofing Detection
(2019-01-15)
Biometrics emerged as a robust solution for security systems. However, given the dissemination of biometric applications, criminals are developing techniques to circumvent them by simulating physical or behavioral traits ...
Efficient transfer learning for robust face spoofing detection
(2018-01-01)
Biometric systems are synonym of security. However, nowadays, criminals are violating them by presenting forged traits, such as facial photographs, to fool their capture sensors (spoofing attacks). In order to detect such ...
Efficient width-extended convolutional neural network for robust face spoofing detection
(2018-12-13)
Biometrics has been increasingly used as a safe and convenient technique for people identification. Despite the higher security of biometric systems, criminals have already developed methods to circumvent them, being the ...
A restricted boltzmann machine-based approach for robust dimensionality reduction
(2018-01-31)
Data dimensionality is an important issue to be adressed by pattern recognition systems. Despite of storage and processing, working with high-dimensional feature vectors also requires complex optimization methods. A proper ...
Can Face Anti-spoofing Countermeasures Work In A Real World Scenario?
(IEEE Computer Society, 2013)
Evaluating Software-based Fingerprint Liveness Detection Using Convolutional Networks And Local Binary Patterns
(Institute of Electrical and Electronics Engineers Inc., 2014)