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.

翻译：串行（或顺序）融合多生物特征匹配器的方法至今尚未得到深入研究。然而，与广泛采用的并行方法相比，该方法展现出若干优势。本文基于作者的前期工作，提出了一种用于评估此类系统性能的新颖理论框架。从理论上评估了性能方面的优势以及模型参数计算中的估计误差。通过在国家标准与技术研究院生物特征评分集1（NIST Biometric Score Set 1）上进行的初步实验，从优缺点角度对模型进行了分析。