Second Competition on Presentation Attack Detection on ID Card
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 one. (1) An automatic evaluation platform was enabled for automatic benchmarking; (2) Two tracks were proposed in order to evaluate algorithms and datasets respectively; and (3) A new ID card dataset was shared with Track 1 teams to serve as the baseline dataset for the training and optimisation. The Hochschule Darmstadt, Fraunhofer-IGD, and Facephi company jointly organised this challenge. 20 teams were registered, and 74 submitted models were evaluated. For Track 1, the "Dragons" team reached first place with an Average Ranking and Equal Error rate (EER) of (AVRank) of 40.48% and 11.44% EER, respectively. For the more challenging approach in Track 2, the "Incode" team reached the best results with an AVRank of 14.76% and 6.36% EER, improving on the results of the first edition of 74.30% and 21.87% EER, respectively. These results suggest that PAD on ID cards is improving, but it is still a challenging problem related to the number of images, especially of bona fide images.
Authors
- Juan Tapia (ORCID: https://orcid.org/0000-0001-9159-4075)
- Peter M. Peer
- Borut Batagelj
- Rodrigo Lara
- Javier Barrachina (ORCID: https://orcid.org/0009-0003-4074-3140)
- Nuno Gonçalves (ORCID: https://orcid.org/0000-0002-1854-049X)
- Patrick Schuch
- Raghavendra Ramachandra (ORCID: https://orcid.org/0000-0003-0484-3956)
- Ketan Kotwal (ORCID: https://orcid.org/0000-0003-3766-0881)
- Andrés Valenzuela
- Marija Ivanovska (ORCID: https://orcid.org/0000-0002-9061-3884)
- Naser Damer
- Raghavendra Mudgalgundurao (ORCID: https://orcid.org/0000-0002-1152-1018)
- Kiran Raja (ORCID: https://orcid.org/0000-0002-9489-5161)
- Pedro Couto Pereira (ORCID: https://orcid.org/0009-0003-2887-0403)
- Sebastian Gonzalez (ORCID: https://orcid.org/0009-0005-8775-7501)
- Ajnas Muhammed
- Diogo Nunes
- Sushrut Patwardhan
- Alvaro S. Rocamora
- Leon Todorov (ORCID: https://orcid.org/0009-0001-8930-3985)
- Renat Khizbullin
- Lazar Lazarevich
- Marko Peterlin
- C. Busch
- Aleksei Grishin
- Amir Mohammadi
- Sébastien Marcel
- Joao Ribeiro Pinto
- Mariana Xavier
- Mario Nieto
- Daniel Schulz
- Juan M. Espin
Institutions
- Universidad de Santiago de Chile (CL)
- Darmstadt University of Applied Sciences (DE)
- Autodesk (United States) (US)
- Universidad Andrés Bello (CL)
- University of Ljubljana (SI)
- Norwegian University of Science and Technology (NO)
- Fraunhofer Institute for Computer Graphics Research (DE)
- Robotics Research (United States) (US)
- Amadeus (Spain) (ES)
- Idiap Research Institute (CH)
Publication Details
- Published
- 2025-09-08
- DOI
- https://doi.org/10.1109/ijcb65343.2025.11411073
- Primary Topic
- Spam and Phishing Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00