Face Recognition System: Alignment And Illumination Using Sparse Representation
Prof.A.S. Deshpande, Vinayak Karkud, Amol Kokare, Rohit Aurade · IJARCCE · 2015
face recognition algorithms work on public data sets, but it degrade sharply when they are used in a real recognition system.This is due to the difficulty of illumination, image misalignment in the test image.We consider a fact where the input images are well controlled and test images are only low controlled.We propose a proper simple face recognition system that runs against a high degree of robustness and illumination variation, image misalignment.The system uses tools from sparse representation to align a test face image to a set of database images.We determine how to capture a set of database images with some illumination variation that they span test images taken under illumination.In order to find how our algorithms work under practical testing conditions, we have evaluate a complete face recognition system.Our system can efficiently and effectively recognize faces under different conditions.