Fusion at the confidence level; Fusion at the measurement level; Match score fusion
In score-level fusion the match scores output by multiple biometric matchers are consolidated in order to render a decision about the identity of an individual. Typically, this consolidation procedure results in the generation of a single scalar score which is subsequently used by the biometric system. Fusion at this level is the most commonly discussed approach in the biometric literature primarily due to the ease of accessing and processing match scores (compared with the raw biometric data or the feature set extracted from the data). Fusion methods at this level can be broadly classified into three categories: density-based schemes, transformation-based schemes and classifier-based schemes.
A match score is the result of comparing two feature sets extracted using the same feature extractor. A similarity score denotes how “similar” the two feature sets are, while a distance...
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