The selection of appropriate wavelets is an important target for any application. In this paper Face recognition has been performed using Principal component analysis (PCA), Gaussian based PCA and Gabor based PCA. PCA extracts the relevant information from complex data sets and provides a solution to reduce dimensionality. PCA is based on Euclidean distance calculation which is minimized by app...

In this paper the problem of recognizing textureless objects in unconstrained illumination and material conditions is investigated. We evaluate the discriminative power of various low-level image features for a pixelwise representation of the underlying surface characteristics of the object. For this purpose, a new dataset with rendered images of 3D models is used which allows to directly compa...

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 ...

In this paper, a novel Gabor filter-based feature extraction method for low resolution gray character classification is proposed. By applying Gabor filters to a character image, dominant orientation matrix is obtained and used to form feature vector for recognition. We compared our Gabor feature with other Gabor features. Experiments show that the proposed feature extraction method achieves hig...

We present an effective depth perception assessment index for stereoscopic images using a phase-shift model. To be more specific, we use Gabor filter to compute the responses of left and right images respectively, and proposed a phase-shift model for computing disparity maps based on phase gradient and phase difference information. Then, quality score for depth perception is obtained by measuri...

To test if simultaneous spectral and temporal processing is required to extract robust features for automatic speech recognition (ASR), the robust spectro-temporal two-dimensional-Gabor filter bank (GBFB) front-end from Schädler, Meyer, and Kollmeier [J. Acoust. Soc. Am. 131, 4134-4151 (2012)] was de-composed into a spectral one-dimensional-Gabor filter bank and a temporal one-dimensional-Gabor...

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...

This paper proposes a new segmentation method and applies it for detecting free space, which is defined as a free road area without any obstacle. The problem is important for an intelligent transportation control or collision adoidance in vehicles, and also important for assisting the blind pedestrian. In this paper, the texture analysis is carried out using Gabor filters. Input images are segm...

Leaves provide an important source of data for research in comparative plant biology. This paper presents a method for comparing and classifying plants based on leaf texture. Joint distributions for the responses from applying different scales of the Gabor filter are calculated. The difference between leaf textures is calculated by the Jeffreydivergence measure of corresponding distributions. T...