Fingerphoto Presentation Attack Detection: Generalization in Smartphones

Author:

Marasco Emanuela,Vurity Anudeep

Funder

National Science Foundation

Publisher

IEEE

Reference18 articles.

1. Faster r-cnn: Towards real-time object detection with region proposal networks;ren;Advances in neural information processing systems,2015

2. Convolutional Networks for Images, Speech, and Time Series;lecun;The Handbook of Brain Theory and Neural Networks,1995

3. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

4. What is the best multi-stage architecture for object recognition?

5. Learning methods for generic object recognition with invariance to pose and lighting

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1. Fingerphoto morphing attack generation using texture descriptors based landmarks;Scientific Reports;2024-07-13

2. Humans Verification by Adopting Deep Recurrent Fingerphotos Network;Baghdad Science Journal;2024-05-25

3. Does Capture Background Influence the Accuracy of the Deep Learning Based Fingerphoto Presentation Attack Detection Techniques?;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

4. A Hybrid Optimization Approach for Human Activity Using Smartphone Sensors;2023 4th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI);2023-12-15

5. New Finger Photo Databases with Presentation Attacks and Demographics;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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