More and more attention has been paid to the invariant texture analysis, because the training and testing samples generally have not identical or similar orientations, or are not acquired from the same viewpoint in many practical applications, which often has negative influences on texture analysis. Local binary pattern (LBP) has been widely applied to texture classification due to its simplici...

This work develops a novel face-based matcher composed of a multi-resolution hierarchy of patch-based feature descriptors for periocular recognition recognition based on the soft tissue surrounding the eye orbit. The novel patch-based framework for periocular recognition is compared against other feature descriptors and a commercial full-face recognition system against a set of four uniquely ch...

The local binary pattern approach has evolved to represent a significant breakthrough in texture analysis, outperforming earlier methods in many applications. Perhaps the most important property of the LBP operator in real-world applications is its tolerance against illumination changes. Another equally important is its computational simplicity, which makes it possible to analyze images in chal...

The beneficial characteristics of Local Binary Pattern can be conserved by computing simple approach COMPLETE LBP (CLBP). The proposed technique called Binary Rotation Invariance and Noise Tolerant texture classification is mainly based this CLBP approach. This BRINT not just exhibits better execution than various late cutting edge LBP variations under ordinary conditions, but also performs sig...

0957-4174/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.eswa.2010.11.048 ⇑ Corresponding author. E-mail addresses: [email protected], lnanni@de [email protected] (S. Brahnam), alessandra.lum This paper focuses on the combination of variants of local binary patterns (LBP), widely considered the state of the art among texture descriptors, using the same radius and the same number o...

Recently, a spatiotemporal local binary pattern operator from three orthogonal planes (LBP-TOP) was proposed for describing and recognizing dynamic textures and applied to facial expression recognition. In this paper, we extend the LBP-TOP features to multi-resolution spatiotemporal space and use them for describing facial expressions. AdaBoost is utilized to learn the principal appearance and ...

ELECT A local binary pattern (LBP)-based tracking algorithm and a novel heterogeneous vision chip architecture that implements the algorithm in high speed are proposed. The algorithm is more robust than previously reported high-speed tracking algorithms. The proposed vision chip architecture adopts multiple levels of parallel processors to execute the algorithm in pixel-parallel and patch-paral...

In this chapter, we propose two novel and curvature-free features: run-lengths of Local Binary Pattern (LBPruns) and Cloud Of Line Distribution (COLD) features for writer identification. The LBPruns is the joint distribution of the traditional run-length and local binary pattern (LBP) methods, which computes the run-lengths of local binary patterns on both binarized images and gray scale images...

In a Local Binary Pattern (LBP) representation, circular point features are taken in their entirety as predicates and restricted to uniform patterns with limited scales of small numbers of features in order to avoid large bin complexity. Such a design cannot fully exploit the discriminative capacity of the features available. To address the problem, this paper proposes (1) a pairwise-coupled re...

Digital image fragile watermarking is an information hiding technique which adds the watermark into the host image for authentication .while achieving the high integrity one should not compromise with quality distortion of images. numbers of watermarking schemes exist today for balancing between the tamper detection rate and quality of reconstructed images in propose scheme we aim at maintain h...