Face Normalization: Enhancing Face Recognition

This paper presents two approaches of face recognition and effect of geometric and brightness normalization on it. The algorithm presented here 1) Detects the position of pupils in the face image using geometric relation between the face and the eyes and normalizes the orientation of the face image. Normalized and non normalized face images are given to holistic face recognition approach. 2) Selects features manually. Then determine the distance between these features in the face image and apply graph isomorphism rule for face recognition. Then apply Gabor filter on the selected features. Algorithm takes into account Gabor coefficient as well as Euclidean distance between features for face recognition. Brightness normalized and non normalized face images are given to feature based approach face recognition methods. Results demonstrate that the normalized faces can improve the recognition rate in both approaches.