no code implementations • 21 Dec 2023 • Reuben Markham, Juan M. Espin, Mario Nieto-Hidalgo, Juan E. Tapia
The accurate detection of ID card Presentation Attacks (PA) is becoming increasingly important due to the rising number of online/remote services that require the presentation of digital photographs of ID cards for digital onboarding or authentication.
no code implementations • 24 Apr 2023 • Pamela C. Zurita, Daniel P. Benalcazar, Juan E. Tapia
Fitness for Duty (FFD) techniques detects whether a subject is Fit to perform their work safely, which means no reduced alertness condition and security, or if they are Unfit, which means alertness condition reduced by sleepiness or consumption of alcohol and drugs.
no code implementations • 31 Oct 2022 • Daniel Benalcazar, Juan E. Tapia, Sebastian Gonzalez, Christoph Busch
Currently, it is ever more common to access online services for activities which formerly required physical attendance.
no code implementations • 24 Oct 2022 • Daniel P. Benalcazar, Juan E. Tapia, Mauricio Vasquez, Leonardo Causa, Enrique Lopez Droguett, Christoph Busch
Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems.
no code implementations • 30 Sep 2022 • Carlos Aravena, Diego Pasmino, Juan E. Tapia, Christoph Busch
In this paper, we study the effect of quality assessment methods on filtering bona fide and attack samples, their impact on PAD systems, and how the performance of such systems is improved when training on a filtered (by quality) dataset.