Part-based Face Recognition Using Image Quality Adjustment Factor
In order to overcome expressions and posture changes in face recognition to improve the accuracy,a new part-based face recognition method is proposed.Image quality adjustment factor is introduced.Face image is normalized to a fixed size according to the eye coordinates.Decomposition is employed to extract different facial parts from the face image.Each part gives out a score.The final score is reached by fusion all parts' score according to each part's weight and its image quality adjustment factor.Experiment shows that our method outperformed the holistic method and the part-based method with fixed weights.