Recognition of human front face in Grayscale Images
Mohamed Rizon, Phaklen Ehkan, Che Rosli Ahmad Nasir · 2005
We propose a new technique to recognize the unknown person in grayscale face images for which the position, scale and image-plane rotation of the face are unknown. The proposed system detects the iris of both eyes and normalizes the position, scale and image-plane rotation of the face using iris positions. The algorithm measures the degree of matching between the image and the face template of each person using normalized cross- correlation value. Recognition of a human face is done using the highest degree of matching.