基于Choquet积分的生物特征评分融合识别模型

2015 International Conference on Electrical and Information Technologies (ICEIT) Pub Date : 2015-03-25 DOI:10.1109/EITECH.2015.7162955

Khalid Fakhar, M. El Aroussi, Mohamed Nabil Saidi, D. Aboutajdine

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引用次数: 3

摘要

本文提出了一种基于匹配分数水平融合的多生物特征识别方法，该方法采用了Choquet积分和相关模糊测度。每个生物特征匹配器的输出使用隶属函数建模为模糊集，相应的模糊熵估计每个生物特征匹配器提供的信息的可靠性。然后，基于训练精度和模糊熵生成模糊密度。使用Choquet积分对结果进行聚合。该方法可以衡量每个生物特征匹配器的重要性，显著提高了融合模型的准确性。

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Biometric score fusion in identification model using the Choquet integral

In this paper, we present a novel method for multibiometric identification system based on fusion at matching score level using the Choquet integral and the associated fuzzy measure. The output of each biometric matcher is modeled as a fuzzy set using membership functions, and the corresponding fuzzy entropy estimates the reliability of the information provided by each biometric matcher. Then, the fuzzy densities are generated based on training accuracy and fuzzy entropy. The results are aggregated using the Choquet integral. This novel method can measure the importance of each biometric matcher and improves the accuracy of the fusion model significantly.

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2015 International Conference on Electrical and Information Technologies (ICEIT)

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