In this paper, Focus is on texture as primary feature. Shape and spatial information were secondary features. Texture features derived from nine grid sizes of independent and different Gabor filter banks were incorporated into the CBIR system by taking advantage of the fact that each grid size of filter is suited to capture particular set of localized frequency-images in diverse database. This ...

The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture Applications include industrial inspection, estimation of object range and orientation, shape analysis, satellite imaging, and medical diagnosis. In this paper, we study of different definitions of texture. The timefrequency tr...

There has been much research about using Gabor wavelet for face recognition. Other multiscale geometrical tools, such as curvelet and contourlet, have also been used for face recognition, thus it is interesting to know which method performs best, especially under illumination and expression changes. In this paper, we make a systematic comparison of wavelet, Gabor and curvelet for recognition, a...

A Gabor filtering method for texture based classification of color images is presented. The algorithm is robust and can be used with different color representations. It involves a filter selection process based on texture smoothness. Unichannel and interchannel correlation features are computed. Two types of color representations have been considered: (1) computing chromaticity values from xyY,...

The Gabor filter is a valuable tool in computer vision, however, its high computational load precludes its use in many applications. This paper presents a novel method for approximating Gabor wavelets with a function that can be convolved more efficiently in the spatial domain. The method extends the well known separable nature of the Gabor filter, and demonstrates a means for reducing the comp...

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...

In the field of facial emotion recognition, early research advancedwith the use of Gabor filters. However, these filters lack generalization and result in undesirably large feature vector size. In recent work, more attention has been given to other local appearance features. Two desired characteristics in a facial appearance feature are generalization capability, and the compactness of represen...