Fusing multimodal biometrics with quality estimates via a Bayesian belief network

  title={Fusing multimodal biometrics with quality estimates via a Bayesian belief network},
  author={Donald E. Maurer and John P. Baker},
  journal={Pattern Recognition},
Biometric systems for today’s high security applications must meet stringent performance requirements; fusing multiple biometrics can help lower system error rates. Fusion methods include processing biometric modalities sequentially until an acceptable match is obtained, using logical (AND/OR) operations, or summing similarity scores. More sophisticated methods combine scores from separate classifiers for each modality. This paper develops a novel fusion architecture based on Bayesian belief… CONTINUE READING
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