This paper proposed a new method of extracting texture features based on Gabor wavelet. In addition, the application of these features for bark classification applying radial basis probabilistic network (RBPNN) has been introduced. In this method, the bark texture feature is firstly extracted by filtering the image with different orientations and scales filters, then the mean and standard devia...

This paper describes a real-time technique for scale invariant object or face tracking with standard PC hardware. The tracking method is based on a low redundancy (compressed) object image representation. For image decomposition a fast non-iterative transform based on the odd-symmetric gabor functions is used, which guarantees on the one hand a low redundancy of the resulting representation and...

Facial analysis has attracted much attention in the technology for human-machine interface. Different methods of classification based on sparse representation and Gabor kernels have been widely applied in the fields of facial analysis. However, most of these methods treat face from a whole view standpoint. In terms of the importance of different facial views, in this paper, we present multi-vie...

Face detection technique recognition is developed by using and fine tuning the Gabor Wavelet parameters. An extensive study of these parameters have been made and checked on a large acquired data set of face images, for extracting the features. The Facial data consists of 320 frontal face 180 non-face images. (Total=500 images) Artificial Neural Network is then used on the extracted features fo...

A signature verification algorithm based on static and dynamic features of online signature data is presented. Texture and topological features are the static features of a signature image whereas the digital tablet captures in real-time the pressure values, breakpoints, and the time taken to create a signature. 1D log Gabor wavelet and Euler numbers are used to analyze the textural and topolog...

Visual perception of faces is invariant under many transformations, perhaps the most problematic of which is pose change (face rotating in depth). We use a variation of Gabor wavelet transform (GWT) as a representation framework for investigating face pose measurement. Dimensionality reduction using principal components analysis (PCA) enables pose changes to be visualised as manifolds in lowdim...

Fingerprint identification is one of the most popular biometric technologies and is used in criminal investigations, commercial applications, and so on. The performance of a fingerprint image-matching algorithm depends heavily on the quality of the input fingerprint images. It is very important to acquire good quality images but in practice a significant percentage of acquired images is of poor...

This paper briefly introduces two classic algorithms for fingerprint image processing, which include the soft threshold denoise algorithm of wavelet domain based on wavelet domain and the fingerprint image enhancement algorithm based on Gabor function. Contourlet transform has good texture sensitivity and can be used for the segmentation enforcement of the fingerprint image. The method proposed...

In this paper, we review most major filtering approaches to texture feature extraction and perform a comparative study. Filtering approaches included are Laws masks, ring/wedge filters, dyadic Gabor filter banks, wavelet transforms, wavelet packets and wavelet frames, quadrature mirror filters, discrete cosine transform, eigenfilters, optimized Gabor filters, linear predictors, and optimized fi...

Many approaches to human gesture recognition exist. This work presents one of the approaches. Especially the problems of human face representation and tracking in video sequences are discussed. A method, where a discrete face template is represented by linear combination of continuous 2D odd-Gabor wavelet functions (Gabor Wavelet Network-GWN) is proposed. The weights and 2D parameters (position...