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Local Binary Pattern (LBP) is a non-parametric descriptor that is used to study various local structures of an image. It is considered as simple and efficient texture operator for image analysis in challenging real-time situations. It has been applied successfully for various applications of computer vision and image processing, like pattern recognition, texture analysis, face detection, image retrieval etc. This paper covers different LBP variants in spatial domain, which were created in order to improve its robustness and efficiency.