Paper Title
Methodology And Extensions Of Local Binary Pattern: A Survey

The Local Binary Pattern is an image operator based on gray level differences between the center and the neighborhood of a pixel. It has been extensively used in texture classification, pattern recognition and facial image analysis. Owing to its simplicity and efficiency, several extensions have been developed. In this paper, LBP has been surveyed and implemented. It states in detail how the LBP operator works for texture as well as face description. While discussing each extension, modification in the basic algorithm, impact on the LBP image, major application and significant improvement over the original LBP have been addressed. The emphasis has been primarily laid on face description using LBP during implementation. Keywords- Local Binary Pattern, Feature Histogram, face description.