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DyFFPAD: Dynamic Fusion of Convolutional and Handcrafted Features for Fingerprint Presentation Attack Detection

DyFFPAD: Dynamic Fusion of Convolutional and Handcrafted Features for Fingerprint Presentation Attack Detection

Anuj Rai
Parsheel Kumar Tiwari
Jyotishna Baishya
R. Sharma
S. Dey
    AAML
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Papers citing "DyFFPAD: Dynamic Fusion of Convolutional and Handcrafted Features for Fingerprint Presentation Attack Detection"

3 / 3 papers shown
Title
Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset
Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset
L. Spinoulas
H. Mirzaalian
Mohamed E. Hussein
Wael AbdAlmageed
AAML
34
16
0
12 Jun 2020
Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
Lázaro J. González Soler
M. Gomez-Barrero
Leonardo Chang
Airel Pérez-Suárez
Christoph Busch
AAML
39
48
0
27 Aug 2019
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
651
36,599
0
25 Aug 2016

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