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Variations occurred on palmprint images degrade the performance of recognition. In this paper, we propose a novel approach to extract local invariant features using Gabor function, to handle the variations of rotation, translation and illumination, raised by the capturing device and the palm structure. The local invariant features can be obtained by dividing a Gabor filtered image into two-layered...
In this paper, we propose a novel approach of Gabor feature-based (2D) 2 PCA (GB(2D) 2 PCA) for palmprint recognition. Three main steps are involved in the proposed GB(2D) 2 PCA: (i) Gabor features of different scales and orientations are extracted by the convolution of Gabor filter bank and the original gray images; (ii) (2D) 2 PCA is then applied for dimensionality...
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