This paper focuses on a biometric cryptosystem implementation and evaluation based on a number of fingerprint texture descriptors. The texture descriptors, namely, the Gabor filter-based FingerCode, a local binary pattern (LBP), and a local direction pattern (LDP), and their various combinations are considered. These fingerprint texture descriptors are binarized using a biometric discretization...

In order to analyze the back of hand vein pattern rapidly and effectively, a novel approach based on multi-scale second-order differential model is proposed to extract the vein texture from vein samples directly, which is made up of two section: one is the foundation of local second-order differential model of vein texture (VLSDM), the other is texture extraction based on the multi-scale VLSDM....

Applying selective emphasis to photographs is a critical aspect of the visual design process. There is evidence from psychophysics that contrast in texture is a key contributor to saliency in an image, yet unlike other low-level perceptual features, texture cannot be directly modified with existing image-processing software. We present a post-processing technique to subtly change the salience o...

Texture can be defined as a local statistical pattern of texture primitives in observer’s domain of interest. Texture classification aims to assign texture labels to unknown textures, according to training samples and classification rules. Association rules have been used in various applications during the past decades. Association rules capture both structural and statistical information, and ...

Based on a local spatial/frequency representation,we employ a spectral histogram as a feature statistic for texture classification. The spectral histogram consists of marginal distributions of responses of a bank of filters and encodes implicitly the local structure of images through the filtering stage and the global appearance through the histogram stage. The distance between two spectral his...

Texture mapping has traditionally added visual realism to computer graphics images. Modern graphic boards reserve more space for image textures that are mapped in real time on 3D meshes. Outside the graphic accelerators texture images are stored in popular compressed formats that are not designed to meet real-time texture decompression requirements. In the paper we forward an alternative techni...

In this paper, we study how a multidimensional local binary pattern (LBP) texture feature data can be visually explored and analyzed. The goal is to determine how true paper properties can be characterized with local texture features from visible light images. We utilize isometric feature mapping (Isomap) for the LBP texture feature data and perform non-linear dimensionality reduction for the d...

Active Shape Model (ASM) has been widely recognized as one of the best methods for image understanding. In this paper, we propose to enhance ASMs by introducing global texture constraints expressed by its reconstruction residual in the texture subspace. In the proposed method, each landmark is firstly matched by its local profile in its current neighborhood, and the overall configure of all the...

This paper presents a method for texture classiication based on invariant gray scale features. These features remain constant if the images are transformed according to the action of a transformation group. The basic method applied for extracting invariant features, is given by an integration over the transformation group. For the transformation group of planar or Euclidean motion (translation ...