SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
2D Gaborface representation method for face recognition with ensemble and multichannel model
Image and Vision Computing
Hierarchical ensemble of global and local classifiers for face recognition
IEEE Transactions on Image Processing
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Fusion of support vector classifiers for parallel gabor methods applied to face verification
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Video-Based face recognition using bayesian inference model
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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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.