Finger veins are a promising biometric pattern for personalized identification in terms of their advantages over existing biometrics. Based on the spatial pyramid representation and the combination of more effective information such as gray, texture and shape, this paper proposes a simple but powerful feature, called Pyramid Histograms of Gray, Texture and Orientation Gradients (PHGTOG). For a ...

T exture analysis is the extraction of textural features from images (Tuceryan and Jain, 1998). The meaning of texture varies, depending on the area of science in which it is used. In general, texture refers to the physical character of an object or the appearance of an image. In image analysis, texture is defined as a function of the spatial variation in intensities of pixels (Tuceryan and Jai...

In this paper image retrieval system is explained in which features of input query image are not compared to the features of whole database image, Here hierarchical and k-means clustering is applied on database images so that query image’s low level features as texture, shape and spatial are compared to only clustered images features rather than whole database image’s features to improve speed,...

Handwritten character recognition has been studied a lot in the past and involves various problems due to many reasons. In this paper, novel method of Handwritten Marathi Barakhadi Character Recognition with Shape and Texture features has been proposed. The Shape features and Texture feature are more unique, so a novel technique based on combination of these is derived and proposed here. For ex...

We use the popular active appearance models (AAM) for extracting discriminative features from images of biological objects. The relevant discriminative features are combined principal component (PCA) vectors from the AAM and texture features from cooccurrence matrices. Texture features are extracted by extending the AAM’s with a textural warp guided by the AAM shape. Based on this, texture cooc...

Content Based Image Retrieval (CBIR) system attains interest in image processing domain from past years due to its optimized applications. In order to retrieve images efficiently from a large database, an improved approach of integrating color and texture features using Gabor filter and genetic algorithm has been proposed. In this paper the image data is pre-processed and then we extract Gabor ...

This paper describes the use the granold texture representation for image texture classification. The granold uses two different parameterised monotonic mappings to transform an input image into a function on two dimensions that may be regarded as a surface. The nature of this surface is such that corners appear at positions where there are simultaneously large changes in the response of the mo...