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On the assessment of face image quality based on handcrafted features

Henniger, Olaf ; Fu, Biying ; Chen, Cong (2020):
On the assessment of face image quality based on handcrafted features.
pp. 273-280, 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020), virtual Conference, 16.-18.09., ISSN 1617-5468,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Henniger, Olaf ; Fu, Biying ; Chen, Cong
Title: On the assessment of face image quality based on handcrafted features
Language: English
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.

Uncontrolled Keywords: Biometrics, Biometric features, Biometric standards, Face recognition, Image quality
Divisions: 20 Department of Computer Science
Event Title: 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020)
Event Location: virtual Conference
Event Dates: 16.-18.09.
Date Deposited: 23 Sep 2020 14:17
Official URL: https://dl.gi.de/handle/20.500.12116/34337
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