• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. First Competition on Presentation Attack Detection on ID Card
 
  • Details
  • Full
Options
September 15, 2024
Conference Paper
Title

First Competition on Presentation Attack Detection on ID Card

Abstract
This paper summarises the Competition on Presentation Attack Detection on ID Cards (PAD-IDCard) held at the 2024 International Joint Conference on Biometrics (IJCB 2024). The competition attracted a total of ten registered teams, both from academia and industry. In the end, the participating teams submitted five valid submissions, with eight models to be evaluated by the organisers. The competition presented an independent assessment of current state-of-the-art algorithms. Today, no independent evaluation on cross-dataset is available; therefore, this work determined the state-of-the-art on ID cards. To reach this goal, a sequestered test set and baseline algorithms were used to evaluate and compare all the proposals. The sequestered test dataset contains ID cards from four different countries. In summary, a team that chose to be "Anonymous" reached the best average ranking results of 74.80%, followed very closely by the "IDVC" team with 77.65%.
Author(s)
Tapia, Juan E.
Hochschule Darmstadt  
Damer, Naser  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Espin, Juan M.
Facephi Company
Busch, Christoph
Hochschule Darmstadt  
Barrachina, Javier
Facephi Company
Rocamora, Alvaro S.
Facephi Company
Ocvirk, Krištof
University of Ljubljana  
Alessio, Leon
University of Ljubljana  
Batagelj, Borut
University of Ljubljana  
Patwardhan, Sushrut
Norwegian University of Science and Technology  
Ramachandra, Raghavendra
Norwegian University of Science and Technology  
Mudgalgundurao, Raghavendra
Norwegian University of Science and Technology  
Raja, Kiran
Norwegian University of Science and Technology  
Schulz, Daniel
ID VisionCenter
Aravena, Carlos
ID VisionCenter
Mainwork
IEEE International Joint Conference on Biometrics, IJCB 2024. Proceedings  
Project(s)
Next Generation Biometric Systems  
Next Generation Biometric Systems  
image Manipulation Attack Resolving Solutions  
Interoperable applications suite to enhance European identity and document Security and fraud detection  
Funder
Bundesministerium für Bildung und Forschung -BMBF-
Hessisches Ministerium für Wissenschaft und Kunst -HMWK-  
European Commission  
European Commission  
Conference
International Joint Conference on Biometrics 2024  
DOI
10.1109/IJCB62174.2024.10744475
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Information Technology

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • Research Line: Machine learning (ML)

  • LTA: Interactive decision-making support and assistance systems

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • Biometrics

  • Machine learning

  • Deep learning

  • ATHENE

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024