Gabor representations have been widely used in facial analysis (face recognition, face detection and facial expression detection) due to their biological relevance and computational properties. Two popular Gabor representations used in literature are: 1) Log-Gabor and 2) Gabor energy filters. Even though these representations are somewhat similar, they also have distinct differences as the Log-...

In this paper, images of realworld natural scenes and manmade structures of different depth are taken. With increase in image depth , roughness increases in case of man-made structures whereas natural scene images become smooth, thus reducing the local roughness of the picture. Such kind of specific arrangement produces a particular spatial pattern of dominant orientations and scales that can b...

We explored the suitability of the log-Gabor method, a speech analysis method inspired by Ezzat e.a. (2007), for automatic classification of personality and likability traits in speech. The core idea underlying the log-Gabor method is to treat the spectrogram as an image of spectro-temporal information. The image is transformed into Gabor energy values using the twodimensional logarithmic Gabor...

In order to improve the recognition rate and accuracy of stored grain pests classification, saving classification time, a new recognition method based on the Gabor wavelet and sparse representation is proposed in this paper. In this paper, nine typical pests in the stored grain are regarded as the research object, Gabor energy features and morphological features are extracted, principal compone...

We consider Gabor systems generated by a Gaussian function and prove certain classical results of Paley and Wiener on nonharmonic Fourier series of complex exponentials for the Gabor expansion‎. ‎In particular, we prove a version of Plancherel-Po ́lya theorem for entire functions with finite order of growth and use the Hadamard factorization theorem to study regularity‎, ‎exactness and deficienc...

A novel face recognition algorithm based on Gabor texture information is proposed in this paper. Two strategies to capture it are Gabor Magnitude-based Texture Representation (GMTR) which is characterized by using the Gamma density to model the Gabor magnitude distribution and Gabor Phase-based Texture Representation (GPTR), characterized by using the Generalized Gaussian Density (GGD) to model...

The paper presents texture classification using multichannel filters: Gabor filters and discrete wavelet transform. We have used a bank of 8 Gabor filters 2 wavelet filters: Daubeschies and Haar, for analyzing and classifying the textures in SAR images. The parameters of the Gabor filter bank are obtained using the energy measure of the response to the filters. The Fuzzy C-means classifier has ...

A feature extraction method for handwritten digit using Gabor filterbank is proposed. I designed a Gabor filterbank which uniformly covers the frequency domain with each filter captures the energy of a localized frequency. The obtained Gabor feature vectors are subjected to the task of classification and feature selection. A comparison against pixel features is presented. Mixing pixel and Gabor...

In the field of facial emotion recognition, early research advancedwith the use of Gabor filters. However, these filters lack generalization and result in undesirably large feature vector size. In recent work, more attention has been given to other local appearance features. Two desired characteristics in a facial appearance feature are generalization capability, and the compactness of represen...