• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. On the Assessment of Face Image Quality Based on Handcrafted Features
 
  • Details
  • Full
Options
2020
  • Konferenzbeitrag

Titel

On the Assessment of Face Image Quality Based on Handcrafted Features

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.
Author(s)
Henniger, Olaf
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Fu, Biying
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Chen, Cong
TU Darmstadt
Hauptwerk
BIOSIG 2020, 19th International Conference of the Biometrics Special Interest Group. Proceedings
Project(s)
ATHENE
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Konferenz
Gesellschaft für Informatik, Special Interest Group on Biometrics and Electronic Signatures (BIOSIG International Conference) 2020
File(s)
N-603078.pdf (713.46 KB)
Language
Englisch
google-scholar
IGD
Tags
  • Lead Topic: Smart Cit...

  • Research Line: Human ...

  • biometrics

  • Biometric features

  • biometric standard

  • face recognition

  • image quality

  • CRISP

  • ATHENE

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022