Konferenzbeitrag
On the assessment of face image quality based on handcrafted features
Vorschaubild nicht verfügbar
Volltext URI
Dokumententyp
Text/Conference Paper
Zusatzinformation
Datum
2020
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
This paper studies the assessment of the quality of face images, predicting the utility of
face images for automated recognition. The utility of frontal face images from a publicly available
dataset was assessed by comparing them with each other using commercial off-the-shelf face recognition
systems. Multiple face image features delineating face symmetry and characteristics of the
capture process were analysed to find features predictive of utility. The selected features were used
to build system-specific and generic random forest classifiers.