Deeply Vulnerable -- A Study of the Robustness of Face Recognition to Presentation Attacks

IET Biometrics - United Kingdom
doi 10.1049/iet-bmt.2017.0079
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institution of Engineering and Technology (IET)

Related search

Motion-Based Counter-Measures to Photo Attacks in Face Recognition

IET Biometrics
Signal ProcessingComputer VisionPattern RecognitionSoftware
2014English

Evaluation of Watermark Robustness to JPEG2000 Based Content Adaptation Attacks

2008English

Late Presentation of Colorectal Cancer in a Vulnerable Population

American Journal of Gastroenterology
HepatologyGastroenterology
2013English

Robustness of Complex Communication Networks Under Link Attacks

2008English

Study of Different Trends and Techniques in Face Recognition

International Journal of Computer Applications
2014English

Video-To-Video Face Matching: Establishing a Baseline for Unconstrained Face Recognition

2013English

Adaptive Histogram Equalization to Increase the Percentage of Face Recognition

International Journal of Computer Applications Technology and Research
2019English

Exploitation of Spectral Variance to Improve Robustness in Speech Recognition

Electronics Letters
Electronic EngineeringElectrical
2006English

An Approach to Forensic Face Recognition

International Journal of Machine Intelligence
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy