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In this paper, the local features obtained from the signature has been used to create the texture image based on the spatio-temporal correlation matrix. The Gabor wavelets exhibit desirable characteristics of spatial locality and orientation selectivity, and are optimally localized in the space and frequency domains. So it has been chosen to extract the Gabor features of the image. Signature is a...
Face recognition remains challenging in computer vision due to variations on face, especially for illuminations. In this paper, a novel face illumination normalization method is proposed. By using Bidimensional Empirical Mode Decomposition (BEMD), a series of normalization images (BIMF) from one subject can be extracted with different spatial scales, each of which possesses a high recognition rate...
In this paper, we propose a new method using joint features extracted from four efficient face illumination normalization approaches to deal with the face recognition problems under variable lighting conditions. These four methods (Logarithm Total Variation, Generic Intrinsic Illumination Subspace, Self-Quotient Image and Discrete Cosine Transform in Logarithm Domain) can indeed improve recognition...
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