This paper proposed the use of multi-instance feature level fusion as a means to improve the performance of Finger Knuckle Print (FKP) verification. A log-Gabor filter has been used to extract the image local orientation information, and represent the FKP features. Experiments are performed using the FKP database, which consists of 7,920 images. Results indicate that the multi-instance verifica...

Œe GFR (Gabor Filter Residual) features, built as histograms of quantized residuals obtained with 2D Gabor €lters, can achieve competitive detection performance against adaptive JPEG steganography. In this paper, an improved version of the GFR is proposed. First, a novel histogram merging method is proposed according to the symmetries between di‚erent Gabor €lters, thus making the features more...

Vehicle identification based on image processing is the basic key behind this paper. This technology has been obtained world wide attention nowadays due to low cost,flexibility,ease of access,potential towards collision avoidance and accuracy. In most cases the vehicles are identified on the basis of colour,texture,histogram,hue,saturation,contrast etc. Gabor filter obtained from Gaussian filte...

This paper presents an efficient face recognition system which can handle partial occlusion in both training and test image sets. We hybridize Gabor filter with Eigen faces which make use of localization effect of Gabor filter and whole appearance effect of Eigen faces. It has been tested on AR database which contains naturally occluded face images.

Facial Expression Recognition is one of the active research area in the field of Human Machine Interaction (HMI) because of its several applications such as human emotion analysis, stress level and lie detection. In this paper, an algorithm for facial expression recognition has been proposed which integrate the Local Binary Patterns (LBP), Gabor filter and Principal Component Analysis (PCA). Th...

<span lang="EN-US">Iris recognition is a type of biometrics technology that based on physiological features the human body. The objective this research to recognize and identify iris among many irises are stored in visual database. This study employed left right biometric framework for inclusion decision processing by combining image artificial bee colony. proposed approach was evaluated ...

Shape from texture has received much attention in the past few decades. We propose a computationally efficient method to extract the 3D shape of developable surfaces from the spectral variations of a visual texture. Under the assumption of homogeneity, the texture is represented by the novel method of identifying ridges of its Fourier transform. Local spatial frequencies are then computed using...