• Corpus ID: 239050469

A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics

@article{Fu2021ADI,
  title={A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics},
  author={Biying Fu and Congmin Chen and Olaf Henniger and Naser Damer},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.11111}
}
Quality scores provide a measure to evaluate the utility of biometric samples for biometric recognition. Biometric recognition systems require high-quality samples to achieve optimal performance. This paper focuses on face images and the measurement of face image utility with general and face-specific image quality metrics. While facespecific metrics rely on features of aligned face images, general image quality metrics can be used on the global image and relate to human perceptions. In this… 

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