Fusion of 2D dual-tree complex wavelet transform and discriminativecommon vector for face verification
Huang Yi-min · Computer Engineering and Applications Journal · 2011
To deal with the small sample size problem and overcome disadvantage of Gabor feature extraction in face verification,an efficient algorithm based on the Discriminative Common Vector(DCV) and 2D Dual-Tree Complex Wavelet Transform(2D DT-CWT) is proposed.The 2D DT-CWT is utilized to filter the preprocessed image,and then the amplitude coefficients of different scales and different orientations are lexicographically ordered to form its feature vector.The dimensionality of 2D DT-CWT features is usually high,so features are projected into DCV subspace to reduce the dimensionality and enhance the discriminative ability.Finally,verification is accomplished according to client-specific threshold.The experimental results on ORL database and FERET subset demonstrate the effectiveness of the proposed algorithm.