Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition With Privacy Protection

@article{Drozdowski2021FeatureFM,
  title={Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition With Privacy Protection},
  author={Pawel Drozdowski and Fabian Stockhardt and Christian Rathgeb and Daile Osorio-Roig and Christoph Busch},
  journal={IEEE Access},
  year={2021},
  volume={9},
  pages={139361-139378}
}
Computationally efficient, accurate, and privacy-preserving data storage and retrieval are among the key challenges faced by practical deployments of biometric identification systems worldwide. In this work, a method of protected indexing of biometric data is presented. By utilising feature-level fusion of intelligently paired templates, a multi-stage search structure is created. During retrieval, the list of potential candidate identities is successively pre-filtered, thereby reducing the… Expand
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