Gabor features has been recognized as one of the most successful representation methods, such as Elastic Graph Matching, Gabor Fisher Classifier, and AdaBoost Gabor Fisher Classifier. One of the key issues in using Gabor features is how to efficiently reduce its high dimensionality. This paper proposes a multiple Fisher classifiers combination approach based on re-grouping Gabor features select...

Gabor filters have long been proposed as models for spectro-temporal receptive fields (STRFs), with their specific spectral and temporal rate of modulation qualitatively replicating characteristics of STRF filters estimated from responses to auditory stimuli in physiological data. The present study builds on the Gabor-STRF model by proposing a methodology to quantitatively decompose STRFs into ...

Biometric systems identify a person through physical traits or verify his/her identity through automatic processes. Various systems were used over years including systems like fingerprint, iris, facial images, hand geometry and speaker recognition. For biometric systems successful implementation, it has to address issues like efficiency, accuracy, applicability, robustness and universality. Sin...

We have reported CNN implementations of 1D and 2D focal plane architectures for filtering images with odd and even symmetric orientation selective filters similar to Gabor filters. These implementations used transistor circuits operating above threshold. While these implementations are fast, they also require a large amount of power. Since many applications may not require extremely fast frame ...

There is considerable rise in the research of iris recognition system over a period of time. Most of the researchers has been focused on the development of new iris pre-processing and recognition algorithms for good quail iris images. In this paper, iris recognition system using Haar wavelet packet is presented. Wavelet Packet Transform (WPT ) which is extension of discrete wavelet transform ha...

A new scheme for color and texture feature extraction for image content search is presented. We introduce a scheme using the two chrominance components for color information and a computationally eecient innnite impulse response (IIR) quadrature mirror lter bank (QMF) energy measure of the luminance component for texture information. The color and texture information is combined into one featur...

This article addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG signals, this article proposes a data-driven method to obtain an adapted dictionary. To reach an efficient dictionary learning, appropriate spatial and temporal modeling is required. Inter-channels links are taken into...

This paper addresses new face recognition method based on Independent Component Analysis(1CA) and Gabor filter. Our method consists of three parts. The first part is Gabor filtering on predefined fiducial points that could represent robust facial features from original face image. The second part is transforming the facial features into the basis space of ICA, which is able to represent individ...

identification based on faces is still a useful method for many applications and face recognition developing is an active research field. in this paper, a novel face identification method is proposed. the proposed method (bridle path on gabor phase (bpgp)) is based on extracting texture patterns from phases of the gabor wavelet. also, in order to describe the textures, a novel texture descripto...

This thesis presents Gabor frames for L2(T) and for the space of periodic sequences Cp , as being analogue to Fourier series and the discrete Fourier transform. Results from the standard theory of Gabor frames for L2(R) are transferred to the periodic setting. This includes results about sampling Gabor systems and existence of Gabor frames. The interrelation of Gabor frames for the continuous s...