Transferable deep convolutional neural network features for fingervein presentation attack detection

Abstract

Presentation attacks (or spoofing) on finger-vein biometric capture devices are gaining increased attention because of their wider deployment in multiple secure applications. In this work. we propose a novel method for fingervein Presentation Attack Detection (PAD) by exploring the transfer learning ability of Deep Convolutional Neural Network (CNN). To… (More)
DOI: 10.1109/IWBF.2017.7935108

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@article{Raghavendra2017TransferableDC, title={Transferable deep convolutional neural network features for fingervein presentation attack detection}, author={Raghavendra Raghavendra and Sushma Venkatesh and Kiran B. Raja and Christoph Busch}, journal={2017 5th International Workshop on Biometrics and Forensics (IWBF)}, year={2017}, pages={1-5} }