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Auflistung nach Schlagwort "Biometric standards and interoperability"

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  • Konferenzbeitrag
    Automatic validation of ICAO compliance regarding head coverings: an inclusive approach concerning religious circumstances
    (BIOSIG 2023, 2023) Carla Guerra, João S. Marcos
    This paper contributes with a dataset and an algorithm that automatically verifies the compliance with the ICAO requirements related to the use of head coverings on facial images used on machine-readable travel documents. All the methods found in the literature ignore that some coverings might be accepted because of religious or cultural reasons, and basically only look for the presence of hats/caps. Our approach specifically includes the religious cases and distinguishes the head coverings that might be considered compliant. We built a dataset composed by facial images of 500 identities to accommodate these type of accessories. That data was used to fine-tune and train a classification model based on the YOLOv8 framework and we achieved state of the art results with an accuracy of 99.1% and EER of 5.7%.
  • Konferenzbeitrag
    Statistical Methods for Testing Equity of False Non Match Rates across Multiple Demographic Groups
    (BIOSIG 2023, 2023) Michael Schuckers, Kaniz Fatima
    Biometric recognition is used for a variety of applications including authentication, identity proofing, and border security. One recent focus of research and development has been methods to ensure fairness across demographic groups and metrics to evaluate fairness. However, there has been little work in this area incorporating statistical variation. This is important because differences among groups can be found by chance when no difference is present or may be due to an actual difference in system performance. We extend previous work to consider when individuals are members of one or more demographics (age, gender, race). Our methodology is meant to be more comprehendable by a non-technical audience and uses a robust bootstrap approach for estimation of variation in false non-match rates. After presenting our methodology, we present a simulation study and we apply our approach to MORPH-II data.