Serial fusion of multi-modal biometric systems

G. Marcialis, P. Mastinu, F. Roli
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引用次数: 24

Abstract

Serial, or sequential, fusion of multiple biometric matchers has been not thoroughly investigated so far. However, this approach exhibits some advantages with respect to the widely adopted parallel approaches. In this paper, we propose a novel theoretical framework for the assessment of performance of such systems, based on a previous work of the authors. Benefits in terms of performance are theoretically evaluated, as well as estimation errors in the model parameters computation. Model is analyzed from the viewpoint of its pros and cons, by mean of preliminary experiments performed on NIST Biometric Score Set 1.
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多模态生物识别系统的序列融合
到目前为止,多个生物识别匹配器的串行或顺序融合尚未得到彻底的研究。然而,与广泛采用的并行方法相比,这种方法显示出一些优点。在本文中,我们提出了一个新的理论框架来评估这些系统的性能,基于作者以前的工作。从理论上评估了性能方面的收益,以及模型参数计算中的估计误差。通过在NIST生物特征评分集1上进行的初步实验,从模型的利弊角度进行分析。
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