Correlation-based patch localization for face recognition

With patch-based approaches, it is aimed to tackle the factors such as illumination, pose changes and partial occlusions that are faced in real world applications and complicates the face recognition problem. For patch-based face recognition systems to work robustly, patch locations should correspond to similar image content. In this paper, we propose two patch localization schemes for patch-based face recognition in order to make patch locations to correspond to same area in all of the face images and the image contents of the patches as close as possible. Our experimental results show that with either of the localization schemes, higher recognition results are obtained especially on the partially occluded face images with scarves or sunglasses.