Multimodal biometric fusion using data quality information

被引：1

作者：

Wang, YC ^{[1
]}

Casasent, D ^{[1
]}

机构：

[1] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA

来源：

OPTICAL PATTERN RECOGNITION XVI | 2005年 / 5816卷

关键词：

data quality; face recognition; fingerprint recognition; fusion; multimodal biometrics;

D O I：

10.1117/12.611931

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Prior studies of multimodal biometric fusion have shown that it can improve performance over use of a single unimodal biometric. The well-known multimodal methods do not consider the quality information of the data used when combining the results from different matchers. In addition to examining these well-known fusion methods, we introduce novel methods of fusion which combine face and fingerprint biometric results using fingerprint data quality information. We show that multimodal biometric fusion using data quality information outperforms standard multimodal results and unimodal systems.

引用

页码：329 / 338

页数：10

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