<span>Iris recognition system is a technique of identifying people using their distinctive features. Generally, this used in security, because it offers good reliability. Different researchers have proposed new methods for iris to increase its effectiveness. In paper, we propose method based on Gabor filter and steerable pyramid decomposition. It’s an efficient accurate linear multi-scale...

A system capable of processing visual information in real-time is a common need for many arti cial vision tasks. Biological vision systems are highly interconnected systems, but it is reasonable to assume that low-level vision operations could be described in terms of independent ltering operations, such as direction detection, disparity and velocity estimation, etc. These functional operators ...

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 ...

In recent years, an explosion in research on pattern recognition systems using neural network methods has been observed. Face Recognition (FR) is a specialized pattern recognition task for several applications such as security: access to limited areas, banking: identity confirmation and identification of wanted people at airports. Biometric techniques deals with identifying individual with the ...

Abstract— The human iris recognition system is an attractive technology for identity authentication. This technology benefits from random variations in the features of the iris. Usually, an iris recognition system has 4 modules: segmentation, normalization, feature extraction and iris templates matching. This work is mainly focused on iris texture analysis and templates matching which are 2 ess...

Texture plays an important role in visual information processing since texture provides useful information about shape, orientation, and depth of the objects. The human visual system utilizes texture without difficulty as one of the visual cues for image interpretation, scene analysis and object recognition. However, to extract and to analyze texture are difficult tasks in machine perception in...

This paper introduces a new face recognition technique using Gabor Wavelet transform and Back propagation network. Face recognition being regarded as a fundamental technology of biometrics has been applied to a variety of areas, including computer vision and pattern recognition. In this proposed approach, the features of the query face image and database face images have been extracted using Ga...

The Gabor filter aided diagnosis system for 3-dimensional ultra-sonography (3DUS) under the WLAN environment is introduced. Due to the important relationship between breast tumour surface features and internal architecture, we applied our system using 3D inter-pixel correlations instead of 2D features. Gabor filters provide a multi-resolution representation of texture, which increases ultrasoun...

This paper introduces a new face recognition technique using Gabor Wavelet transform and Back propagation network. Face recognition being regarded as a fundamental technology of biometrics has been applied to a variety of areas, including computer vision and pattern recognition. In this proposed approach, the features of the query face image and database face images have been extracted using Ga...

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...