Face feature detection and normalization based on eyeball center and recognition

This paper presents an effective and efficient feature detection method based on eyes location. Here it is assumed that face is already detected. Then algorithm detects the position of pupils in the face image using geometric relation between the face and the eyes. Finally the algorithm normalizes the orientation and grayscale of the face image. The experimental results demonstrated that this algorithm can detect feature and normalize the face image efficiently and accurately. The algorithm can be used in face recognition because the normalized faces can improve the recognition rate.