ses a facial expression recognition system based on Gabor feature using a novel r bank. Traditionally, a global Gabor filter bank with 5 frequencies and 8 ten used to extract the Gabor feature. A lot of time will be involved to extract mensions of such Gabor feature vector are prohibitively high. A novel local Gabor art of frequency and orientation parameters is proposed. In order to evaluate t...

In the last decade it has become clear that one of the central themes within Gabor analysis (with respect to general timefrequency lattices) is a duality theory for Gabor frames, including the Wexler-Raz biorthogonality condition, the Ron-Shen’s duality principle or Janssen’s representation of a Gabor frame operator. All these results are closely connected with the so-called Fundamental Identit...

Gabor frames, especially digital Gabor filters, have long been known as indispensable tools for local time-frequency analysis of discrete signals. With strong orientation selectivity, tensor products discrete (tight) Gabor frames also see their applications in image analysis and restoration. However, the lack of multi-scale structures existing in MRA-based wavelet (tight) frames makes discrete ...

In this paper, we present a feature selection approach based on Gabor wavelets and AdaBoosting. The features are first extracted by a Gabor wavelet transform. A family of Gabor wavelets with 5 scales and 8 orientations is generated with the standard Gabor kernel. Convolved with the Gabor wavelets, the original images are transformed into vectors of Gabor wavelet features. Then for an individual...

Facial Expression Recognition has been a very important topic for research in computer pattern recognition and currently there is no method of facial Expression recognition system that have 100% recognition rate. So research issues are to improve recognition rate by improving the pre-processing of datasets, improving the feature extraction method and using the best classifier for face recogniti...

The orientation of iris texture will influence the iris recognition rate and the 2 dimensional Gabor filters (2-D Gabor) has better selectivity in orientation and frequency, so the multi-scales and multi directions 2-D Gabor filters can be used to extract the iris features. But there are many shortcomings such as long extraction feature time and high feature dimensions to use the traditional 2-...

A new local feature based image representation method is proposed. It is derived from the local Gabor phase difference pattern (LGPDP). This method represents images by exploiting relationships of Gabor phase between pixel and its neighbors. There are two main contributions: 1) a novel phase difference measure is defined; 2) new encoding rules to mirror Gabor phase difference information are de...

We investigate vector-valued Gabor frames (sometimes called Gabor superframes) based on Hermite functions Hn. Let h = (H0, H1, . . . , Hn) be the vector of the first n+ 1 Hermite functions. We give a complete characterization of all lattices Λ ⊆ R such that the Gabor system {e2πiλ2th(t − λ1) : λ = (λ1, λ2) ∈ Λ} is a frame for L(R,C). As a corollary we obtain sufficient conditions for a single H...

This paper presents an unsupervised method of texture classification by combining the two most commonly used multi-resolution, multi-channel filters: Gabor filters and wavelet transform. We used a set of 8 Gabor filters and 2 wavelet filters: Daubeschies and Haar, for our analysis. The parameters (viz. frequency, orientation and size) of the Gabor filter bank are obtained by trial and error met...

Gabor filters have been applied successfully to the segmentation of textured images. Previous investigators have used banks of Gabor filters, where the filter parameters were predetermined ad hoc and not necessarily optimized for a particular task. Other investigators have proposed using filters tuned to dominant components in the FFT of constituent textures. More recent work presented a Gabor ...