Wavelet transformation is one of the most practical mathematical transformations in the field of image processing, especially image and signal processing. Depending on the nature of the multiresolution analysis, Wavelet transformation become more accessible and powerful tools. In this paper, we refer to the mathematical foundations of this transformation.   Introduction: The...

Gabor wavelet-based methods have been widely used to extract representative features for face analysis. However, the existing methods usually suffer from high computational complexity of Gabor wavelet transform (GWT), and the Gabor parameters are fixed to a few conventional values which are assumed to be the best choice. In this paper we show that, for some facial analysis applications, the con...

Real world Speaker Identification (SI) application differs from ideal or laboratory conditions causing perturbations that leads to a mismatch between the training and testing environment and degrade the performance drastically. Many strategies have been adopted to cope with acoustical degradation; wavelet based Bayesian marginal model is one of them. But Bayesian marginal models cannot model th...

We review Gabor's Uncertainty Principle and the limits it places on the representation of any signal. Representations in terms of Gabor elementary functions (Gaussian-modulated sinusoids), which are optimal in terms of this uncertainty principle, are compared with Fourier and wavelet representations. We also review Daugman's evidence for representations based on two-dimensional Gabor functions ...

A technique that automatically locates specific facial points on an unknown face image is presented. This technique uses log Gabor wavelets to represent each facial point by embedding local surrounding features. Using a sample log Gabor response of a facial point, locations on the unknown face image that appear similar to the sample facial point are detected. We identify facial points by employ...

Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, which applies Enhanced Kernel Fisher Model (EKFM) on Gaborfaces derived from Gabor wavelet representation of face images. We show that the EKFM outperforms the Generalized Kernel Fisher Analysis (GKFD) model. The performa...