Abstract
Facial occlusion is a critical problem in many face recognition applications. It complicates the process of automatic face recognition because many factors such as occluded facial region, shape occlusion, occluded region color, and occlusion position are variable. Existing face recognition approaches that deal with occlusion issues focus mainly on classic facial accessories. In this paper, we consider occlusions types well studied in the literature (sunglasses, neck warmer, beard, hair, etc.) as well as other occlusions, which are not studied extensively. We assess the Eigenface method in the presence of occlusions and we develop an original optimal approach of simple and more robust facial recognition allowing operating the Eigenfaces method even for occluded faces in more advanced conditions. For this, we have combined skin detection and the Eigenface method. We validated our method on several facial occlusions using FEI database containing several types of faces.
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Ennaama, F., Benhida, K., Ennaama, S. (2022). Robust Face Recognition Under Advanced Occlusion Proposal of an Approach Based on Skin Detection and Eigenfaces. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-031-02447-4_45
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DOI: https://doi.org/10.1007/978-3-031-02447-4_45
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