Henniger, Olaf ; Fu, Biying ; Chen, Cong (2020)
On the assessment of face image quality based on
handcrafted features.
19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020). virtual Conference (16.-18.09.)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Henniger, Olaf ; Fu, Biying ; Chen, Cong |
| Art des Eintrags: | Bibliographie |
| Titel: | On the assessment of face image quality based on handcrafted features |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Veranstaltungstitel: | 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020) |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 16.-18.09. |
| URL / URN: | https://dl.gi.de/handle/20.500.12116/34337 |
| Kurzbeschreibung (Abstract): | 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. |
| Freie Schlagworte: | Biometrics, Biometric features, Biometric standards, Face recognition, Image quality |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik |
| Hinterlegungsdatum: | 23 Sep 2020 14:17 |
| Letzte Änderung: | 23 Sep 2020 14:17 |
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