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Robust, discriminative and computationally efficient feature extraction is vital for a successful real-world face recognition system. To this end, we present a novel local feature descriptor, named patterns of Weber magnitude and orientation (PWMO), for face representation and recognition. Instead of merely taking advantage of the pixel intensity which is sensitive to variant impact factors such as...
Face representation, including both feature extraction and feature selection, is the key issue for a successful face recognition system. In this paper, we propose a novel face representation scheme based on nonsubsampled contourlet transform (NSCT) and block-based kernel Fisher linear discriminant (BKFLD). NSCT is a newly developed multiresolution analysis tool and has the ability to extract both...
Speech recorded in real environments by distant microphones is degraded by factor like reverberation. This degradation strongly affects the performance of the speaker identification system. Three compensation approaches are investigated to improve the robustness of speaker identification in such scenarios. The first approach applies spectral subtraction before feature extraction in order to reduce...
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