Rapid increase in the amount of audio data and especially music collections demand an efficient method to automatically retrieve audio objects based on its content. In this paper, based on the Gabor wavelet features, we will propose a method for content-based retrieval of perceptually similar music pieces in audio documents. It allows the user to select a reference passage within an audio file ...

We investigate 3D face recognition by proposing an algorithm with the following processing stages: (a) thresholding of depth maps of 3D range images; (b) normalization and alignment; c) feature extraction by Gabor Wavelet Filtering (GWF); d) Principal Component Analysis (PCA); e) classification using the concurrent neural model previously proposed by the first author called Concurrent Self-Orga...

We present a face verification system using Parallel Gabor Principal Component Analysis (PGPCA) and fusion of Support Vector Machines (SVM) scores. The algorithm has been tested on two databases: XM2VTS (frontal images with frontal or lateral illumination) and FRAV2D (frontal images with diffuse or zenithal illumination, varying poses and occlusions). Our method outperforms others when fewer PC...

Medical image denoising is the main step in medical diagnosis, which removes the noise without affecting relevant features of the image. There are many algorithms that can be used to reduce the noise such as: threshold and the sparse representation. The K-SVD is one of the most popular sparse representation algorithms, which is depend on Orthogonal Matching Pursuit (OMP) and Discrete Cosine Tra...

Most automatic systems for fingerprint identification are based on minutiae matching. Minutiae points are terminaisons and bifurcations of the ridge lines that constitute a fingerprint pattern. A critical step in fingerprint matching is to automatically and reliably extract minutiae from the input fingerprint image. The efficiency of minutiae detection depends on how well the ridges and valleys...

Medical image denoising is the main step in medical diagnosis, which removes the noise without affecting relevant features of the image. There are many algorithms that can be used to reduce the noise such as: threshold and the sparse representation. The K-SVD is one of the most popular sparse representation algorithms, which is depend on Orthogonal Matching Pursuit (OMP) and Discrete Cosine Tra...

This paper proposes a novel method to recognize facial expression through Active Appearance Model (AAM) to extract facial regions based on Facial Action Coding System (FACS). It is composed of three parts: extraction of facial regions based on AAM, extraction of facial features by Gabor wavelet transformation, and expression recognition through Support Vector Machines (SVMs). AAM has better per...

This paper is concerned with the characterization of α-modulation spaces by Banach frames, i.e., stable and redundant nonorthogonal expansions, constituted of functions obtained by a suitable combination of translation, modulation and dilation of a mother atom. In particular, the parameter α ∈ [0,1] governs the dependence of the dilation factor on the frequency. The result is achieved by exploi...

This paper proposes a method that automatically finds human faces as well as its landmark points in color images based on a fuzzy analysis. The proposed approach first uses color information to detect face candidate regions and then uses a fuzzy analysis of the color, shape, symmetry and interior facial features. A deformable Gabor wavelet graph matching is used to locate the facial landmark po...

Facial expression analysis is rapidly becoming an area of intense interest in computer science and human-computer interaction design communities. The most expressive way humans display emotions is through facial expressions. In this paper we present a method to analyze facial expression from images by applying Gabor wavelet transform (GWT) and Discrete Cosine Transform (DCT) on face images. Rad...