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Found 5 papers, 1 papers with code
DyFFPAD: Dynamic Fusion of Convolutional and Handcrafted Features for Fingerprint Presentation Attack Detection
The proposed model outperforms state-of-the-art methods in benchmark protocols of presentation attack detection in terms of classification accuracy.
An Open Patch Generator based Fingerprint Presentation Attack Detection using Generative Adversarial Network
An overall accuracy of 96. 20\%, 94. 97\%, and 92. 90\% has been achieved on the LivDet 2015, 2017, and 2019 databases, respectively under the LivDet protocol scenarios.
EXPRESSNET: An Explainable Residual Slim Network for Fingerprint Presentation Attack Detection
This paper proposes a novel explainable residual slim network that detects the presentation attack by representing the visual features in the input fingerprint sample.
MoSFPAD: An end-to-end Ensemble of MobileNet and Support Vector Classifier for Fingerprint Presentation Attack Detection
The proposed model incorporates MobileNet as a feature extractor and a Support Vector Classifier as a classifier to detect presentation attacks in cross-material and cross-sensor paradigms.
Pho(SC)-CTC -- A Hybrid Approach Towards Zero-shot Word Image Recognition
Annotating words in a historical document image archive for word image recognition purpose demands time and skilled human resource (like historians, paleographers).
