Hybrid fusion for biometrics: Combining score-level and decision-level fusion

Q. Tao, R. Veldhuis
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引用次数: 24

Abstract

A general framework of fusion at decision level, which works on ROCs instead of matching scores, is investigated. Under this framework, we further propose a hybrid fusion method, which combines the score-level and decision-level fusions, taking advantage of both fusion modes. The hybrid fusion adaptively tunes itself between the two levels of fusion, and improves the final performance over the original two levels. The proposed hybrid fusion is simple and effective for combining different biometrics.
生物识别的混合融合:结合分数级和决策级融合
研究了一种适用于roc而非匹配分数的决策级融合的通用框架。在此框架下,我们进一步提出了一种混合融合方法,将分数级融合和决策级融合结合起来,充分利用两种融合模式。混合融合自适应地在两级融合之间进行调整,并在原始两级融合的基础上提高最终的性能。所提出的混合融合方法简单有效,可实现不同生物特征的融合。
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