Expressions invariant face recognition using SURF and Gabor features

Face recognition is an active research area in the field of computer vision and pattern recognition. Despite of considerable research and developments a time and memory efficient method that is robust to different factors e.g. facial expressions, pose, illumination, age, etc. remains a major challenges. This paper presents expressions invariant face recognition by detecting the fiducial points and employing speeded up robust feature (SURF) along with Gabor filter. The presented method is tested with test images with different expressions and found to be a better performer over the conventional SURF algorithm.