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Authors: Jacob Carnap 1 ; Alexander Kurz 2 ; Olaf Henniger 2 and Arjan Kuijper 2 ; 1

Affiliations: 1 Technical University of Darmstadt, Department of Computer Science, Darmstadt, Germany ; 2 Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany

Keyword(s): Biometrics, Face Recognition, Face Image Quality Assessment.

Abstract: The accuracy of 2D-image-based face recognition systems depends on the quality of the compared face images. One factor that affects the recognition accuracy is the occlusion of face regions, e.g., by opaque sunglasses or medical face masks. Being able to assess the quality of captured face images can be useful in various scenarios, e.g., in a border entry/exit system. This paper discusses a method for detecting face occlusions and for measuring the percentage of occlusion of a face using face segmentation and face landmark estimation techniques. The method is applicable to arbitrary face images, not only to frontal or nearly frontal face images. The method was evaluated by applying it to publicly available face image data sets and analyzing the results obtained. The evaluation shows that the proposed method enables the effective detection of face occlusions.

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Paper citation in several formats:
Carnap, J., Kurz, A., Henniger, O. and Kuijper, A. (2025). Occlusion Detection for Face Image Quality Assessment. In Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-730-6; ISSN 2184-4313, SciTePress, pages 657-664. DOI: 10.5220/0013168500003905

@conference{icpram25,
author={Jacob Carnap and Alexander Kurz and Olaf Henniger and Arjan Kuijper},
title={Occlusion Detection for Face Image Quality Assessment},
booktitle={Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2025},
pages={657-664},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013168500003905},
isbn={978-989-758-730-6},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Occlusion Detection for Face Image Quality Assessment
SN - 978-989-758-730-6
IS - 2184-4313
AU - Carnap, J.
AU - Kurz, A.
AU - Henniger, O.
AU - Kuijper, A.
PY - 2025
SP - 657
EP - 664
DO - 10.5220/0013168500003905
PB - SciTePress

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