The document describes a face recognition technique that uses Independent Component Analysis (ICA) and Local Binary Pattern Histograms (LBPH). It begins with an introduction to face recognition and the challenges involved. Then it describes LBPH, which extracts local features from images by comparing pixel intensities to the center pixel. ICA is also introduced as a method for extracting independent components from images to better represent faces across changes. The proposed technique applies both ICA and LBPH to extract features, then uses those features for face recognition by comparing an unknown image to training images. It claims this approach provides good recognition performance across variations in poses, illumination and sizes.