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Visual and infrared cameras have complementary properties and using them together may increase the performance of human face recognition. This study presents a new efficient method for face recognition which fusing the complementary information from both domains. The fused image is obtained by a new image fusion method based on region segmentation and PCNN for the first step. In the second step, features...
In this paper, two new methods: ECA and 2DECA are proposed for face recognition, which are inspired by KECA. In ECA (2DECA), features are selected in PCA (2DPCA) subspace based on the Renyi entropy contribution instead of cumulative variance contribution. Then the proposed methods are tested on the OLR, YALE and XM2VTS databases respectively. We also compare the performance of the related methods...
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