activity
20202025
most citedSynthetic ID Card Image Generation for Improving Presentation Attack Detection

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Second Competition on Presentation Attack Detection on ID Card

Juan E. Tapia, Mario Nieto, Juan M. Espin +30

This work summarises and reports the results of the second Presentation Attack Detection competition on ID cards. This new version includes new elements compared to the previous on…

cs.CV2024★ 1 cited

On the Feasibility of Creating Iris Periocular Morphed Images

Juan E. Tapia, Sebastian Gonzalez, Daniel Benalcazar +1

In the last few years, face morphing has been shown to be a complex challenge for Face Recognition Systems (FRS). Thus, the evaluation of other biometric modalities such as fingerp…

cs.CV2023

Improving Presentation Attack Detection for ID Cards on Remote Verification Systems

Sebastian Gonzalez, Juan Tapia

In this paper, an updated two-stage, end-to-end Presentation Attack Detection method for remote biometric verification systems of ID cards, based on MobileNetV2, is presented. Seve…

cs.CV2022★ 2 cited

Synthetic ID Card Image Generation for Improving Presentation Attack Detection

Daniel Benalcazar, Juan E. Tapia, Sebastian Gonzalez +1

Currently, it is ever more common to access online services for activities which formerly required physical attendance. From banking operations to visa applications, a significant…

cs.CV2021

Iris Liveness Detection using a Cascade of Dedicated Deep Learning Networks

Juan Tapia, Sebastian Gonzalez, Christoph Busch

Iris pattern recognition has significantly improved the biometric authentication field due to its high stability and uniqueness. Such physical characteristics have played an essent…

cs.CV2020

Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition

Priyanka Das, Joseph McGrath, Zhaoyuan Fang +20

Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection…