Illustration of Usage of Local Binary Patterns for Feature Extraction in Face Recognition

Face Recognition is a very challenging area and has a wide range of applications in various fields such as video surveillance systems, crime informatics, etc. Feature extraction is the basic step in any face recognition system. It is required because the number of inputs or size of input may be too large and hence we extract only features of interest. Texture based feature extraction is preferred due to it's invariance to pose, light, reflection. Local Binary Pattern(LBP) are used for feature extraction where we segment the given input image into segments and apply LBP for each segment and then combine them to obtain the global features. Local features are used because they provide more accuracy then global features.