Score fusion is a paradigm, which calculates similarity scores for each of the two modalities, then combines the two scores according to a fusion formula, e.g., the overall score is calculated as the mean of the two modality scores. Decision fusion is a paradigm, which makes an accept–reject decision for each of the two modalities, then combines the two decisions according to a fusion rule, e.g., the unknown sample is accepted only if both modalities yield an accept decision.
Multibiometrics, Overview
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(2009). Score Fusion and Decision Fusion. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_642
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DOI: https://doi.org/10.1007/978-0-387-73003-5_642
Publisher Name: Springer, Boston, MA
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