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20242026
most citedFirst Competition on Presentation Attack Detection on ID Card

11 citations · 12 across the 14 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025

Detection of Digital Facial Retouching utilizing Face Beauty Information

Philipp Srock, Juan E. Tapia, Christoph Busch

Facial retouching to beautify images is widely spread in social media, advertisements, and it is even applied in professional photo studios to let individuals appear younger, remov…

cs.CR2025

Identity Card Presentation Attack Detection: A Systematic Review

Esteban M. Ruiz, Juan E. Tapia, Reinel T. Soto +1

Remote identity verification is essential for modern digital security; however, it remains highly vulnerable to sophisticated Presentation Attacks (PAs) that utilise forged or mani…

cs.CV2025

ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset

Qingwen Zeng, Juan E. Tapia, Izan Garcia +2

Nowadays, the development of a Presentation Attack Detection (PAD) system for ID cards presents a challenge due to the lack of images available to train a robust PAD system and the…

cs.CV2025

Can Foundation Models Predict Fitness for Duty?

Juan E. Tapia, Christoph Busch

Biometric capture devices have been utilised to estimate a person's alertness through near-infrared iris images, expanding their use beyond just biometric recognition. However, cap…

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.CV2025

In-context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems

Lazaro Janier Gonzalez-Soler, Maciej Salwowski, Christoph Busch

Recent advances in biometric systems have significantly improved the detection and prevention of fraudulent activities. However, as detection methods improve, attack techniques bec…

cs.CV2025

Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?

Juan E. Tapia, Christoph Busch

Nowadays, one of the main challenges in presentation attack detection (PAD) on ID cards is obtaining generalisation capabilities for a diversity of countries that are issuing ID ca…

cs.CV2025

SynID: Passport Synthetic Dataset for Presentation Attack Detection

Juan E. Tapia, Fabian Stockhardt, Lázaro Janier González-Soler +1

The demand for Presentation Attack Detection (PAD) to identify fraudulent ID documents in remote verification systems has significantly risen in recent years. This increase is driv…

cs.CV2025

Towards Iris Presentation Attack Detection with Foundation Models

Juan E. Tapia, Lázaro Janier González-Soler, Christoph Busch

Foundation models are becoming increasingly popular due to their strong generalization capabilities resulting from being trained on huge datasets. These generalization capabilities…