A taxonomy for texture description and identification
A taxonomy for texture description and identification
Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale estimation of vector field anisotropy application to texture characterization
Signal Processing - From signal processing theory to implementation
Localization of corresponding points in fingerprints by complex filtering
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
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Identification of local anisotropy and determination of principal axes are addressed through different methods that are designed to be tolerant to the non-smooth character of images on the pixel scale. These different tools are validated on various examples, and their performances are compared. The most powerful, robust and accurate method consists in computing the curvature tensor of the auto-correlation function of regularized images using fast Fourier transforms.