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Combining Null Space-based Gabor Features for Face Recognition

9 years 6 months ago
Combining Null Space-based Gabor Features for Face Recognition
We propose a novel face recognition strategy combining various discriminating Gabor features in multi-scales and multi-orientations. A bank of well-chosen Gabor filters is applied on the image to construct a group of feature vectors, and then the Null Space-based LDA (NLDA) is performed simultaneously on each orientation channel and the original image to give 5 component classifier outputs, which are then combined to increase the final recognition rate. Experimental results on the FERET database demonstrate the effectiveness and flexibility of our proposed method.
Tieniu Tan, Wei Fan, Wei Liu, Yunhong Wang
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Tieniu Tan, Wei Fan, Wei Liu, Yunhong Wang
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