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...

The developments of content based image retrieval (CBIR) systems used for image archiving are continued and one of the important research topics. Although some studies have been presented general image achieving, proposed CBIR systems for archiving of medical images are not very efficient. In presented study, it is examined the retrieval efficiency rate of spatial methods used for feature extra...

Image registration has great significance in medicine, astrophotography and satellite imaging, so a lot of techniques have been developed within its perspective of one or the other discipline. This paper presents a method for medical image registration of multimodal brain images using Modified Adaptive Polar Transform (MAPT). This algorithm can be used to register images of the same or differen...

We here propose improved version of elastic graph matching (EGM) as a face detector, called the multi-scale EGM (MS-EGM). In this improvement, Gabor wavelet-based pyramid reduces computational complexity for the feature representation often used in the conventional EGM, but preserving a critical amount of information about an image. The MS-EGM gives us higher detection performance than Viola-Jo...

SIFT is a scale and rotation invariant feature point extraction algorithm, and it has a high robustness of local feature representation. SIFT expression method is based on the detection of multi-scale extreme points of the difference of Gaussian image pyramid and gradient direction. This article describes a face based on Gabor wavelet transform facial area, and it is depression terrain feature ...