Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition

@article{Haghighat2016DiscriminantCA,
  title={Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition},
  author={M. Haghighat and M. Abdel-Mottaleb and W. Alhalabi},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2016},
  volume={11},
  pages={1984-1996}
}
  • M. Haghighat, M. Abdel-Mottaleb, W. Alhalabi
  • Published 2016
  • Computer Science
  • IEEE Transactions on Information Forensics and Security
  • Information fusion is a key step in multimodal biometric systems. The fusion of information can occur at different levels of a recognition system, i.e., at the feature level, matching-score level, or decision level. However, feature level fusion is believed to be more effective owing to the fact that a feature set contains richer information about the input biometric data than the matching score or the output decision of a classifier. The goal of feature fusion for recognition is to combine… CONTINUE READING
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