Robust multimodal face and fingerprint fusion in the presence of spoofing attacks

作者：

Highlights：

• We examine spoofing robustness in multibiometrics attacking m out of n instances.

• 1-Median filtering detecting score anomalies is proposed for spoof-resistant fusion.

• In contrast to sum-rule, operation with stable m-spoof performance can be achieved.

• Best performance (84%) for bagging of classifiers approach on LivDet2013 CrossMatch.

摘要

Highlights•We examine spoofing robustness in multibiometrics attacking m out of n instances.•1-Median filtering detecting score anomalies is proposed for spoof-resistant fusion.•In contrast to sum-rule, operation with stable m-spoof performance can be achieved.•Best performance (84%) for bagging of classifiers approach on LivDet2013 CrossMatch.

论文关键词：Multibiometrics,Anti-spoofing,1-Median

论文评审过程：Received 28 February 2015, Revised 15 June 2015, Accepted 7 August 2015, Available online 19 August 2015, Version of Record 5 November 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.08.007