Deep convolutional neural networks for face and iris presentation attack detection: survey and case study
Abstract
Biometric presentation attack detection (PAD) is gaining increasing attention. Users of mobile devices find it more convenient to unlock their smart applications with finger, face, or iris recognition instead of passwords. In this study, the authors survey the approaches presented in the recent literature to detect face and iris presentation attacks. Specifically, they investigate the effectiveness of fine-tuning very deep convolutional neural...
Paper Details
Title
Deep convolutional neural networks for face and iris presentation attack detection: survey and case study
Published Date
Jul 29, 2020
Journal
Volume
9
Issue
5
Pages
179 - 193
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