Robust authentication using the unconstrained infrared face images

作者：

Highlights：

• Information set considers both membership value and pixel intensity together.

• New features are derived on the basis of information sets and s-norm is used to get interactive features.

• Two classifies are developed for robust authentication.

• Promising results are achieved on both the constrained and the unconstrained IR Face database.

摘要

•Information set considers both membership value and pixel intensity together.•New features are derived on the basis of information sets and s-norm is used to get interactive features.•Two classifies are developed for robust authentication.•Promising results are achieved on both the constrained and the unconstrained IR Face database.

论文关键词：Infrared face recognition (IR face recognition),Hanman Classifier (HC),Weighted Hanman Classifier (WHC),Euclidean Classifier (EC)

论文评审过程：Available online 18 April 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.03.040