11 citations · 12 across the 14 of their papers we have counts for
15 papers
The Third Competition on Document Forgery Detection on ID-Cards and Passports
Juan E. Tapia, Mario Nieto, Juan M. Espin +4
This paper presents a comprehensive analysis of the results from the Third International Competition on Document Forgery Detection on ID-Cards and Passports, which was held across…
From Vision to Text: A Compact Multimodal Approach for Robust, Cross-Domain Presentation Attack Detection on ID Cards
Qingwen Zeng, Juan E. Tapia, Sneha Das +1
Cross-domain shifts challenge Presentation Attack Detection (PAD) on ID Cards, given the restricted data available due to privacy concerns. This work proposes a compact multimodal…
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…
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…
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…
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…
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…
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…
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…
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…
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…
First Competition on Presentation Attack Detection on ID Card
Juan E. Tapia, Naser Damer, Christoph Busch +12
This paper summarises the Competition on Presentation Attack Detection on ID Cards (PAD-IDCard) held at the 2024 International Joint Conference on Biometrics (IJCB2024). The compet…
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…
Generating Automatically Print/Scan Textures for Morphing Attack Detection Applications
Juan E. Tapia, Maximilian Russo, Christoph Busch
Morphing Attack Detection (MAD) is a relevant topic that aims to detect attempts by unauthorised individuals to access a "valid" identity. One of the main scenarios is printing mor…
Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network
Juan Tapia, Christoph Busch
This paper evaluated the impact of synthetic images on Morphing Attack Detection (MAD) using a Siamese network with a semi-hard-loss function. Intra and cross-dataset evaluations w…