Face aging simulation and recognition based on NMF algorithm with sparseness constraints

In recent years, face recognition has been widely applied in managing and criminal fields. Apart from lighting, gesture and expression, variations in shape and texture of human faces due to aging factor would also affect the performance of face recognition systems extremely. A facial aging simulation method based on sparse-constrained method is first proposed and then applied in the age-across face recognition. Experiments show that age span indeed has a great effect on face recognition, but the recognition ratio is apparently improved after adding additional virtual samples by aging simulation.