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It is a challenging task to recognize smoke from visual scenes due to large variations in the color, texture, shapes of smoke. To… Expand LBP based feature descriptors have gotten encouraging performance in image recognition. As the improved versions of LBP, Local… Expand Abstract In this paper, we propose a new algorithm using spherical symmetric three dimensional local ternary patterns (SS-3D-LTP… Expand Recently, detecting the traces introduced by the content-preserving image manipulations has received a great deal of attention… Expand Fingerprint recognition systems are widely deployed in both government and civilian applications. But the emergence of fake… Expand Local binary pattern (LBP) operators have become commonly used texture descriptors in recent years. Several new LBP-based… Expand Features such as Local Binary Patterns (LBP) and Local Ternary Patterns (LTP) have been very successful in a number of areas… Expand The basic idea behind LBP is that an image is composed of micropatterns. A histogram of these micropatterns contains information… Expand The local binary pattern (LBP) operator is a computationally efficient local texture descriptor and has found many useful… Expand We present an extension to the well-known local binary pattern (LBP) feature descriptor. The newly defined descriptor known as… Expand