Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions

In this paper, morphological elastic graph matching is applied to frontal f ace authentication on databases ranging from small to large multimedia ones collected under either well-controlled or real-world conditions. It is sho wn that the morphological elastic graph matching achieves a very low equal error rate on databases collected under well-controlled conditions. However , its performance deteriorates when it is applied to databases recorded in real-world scenarios. The compensation for variable recording conditions su ch as changes in illumination, scale differences and varying face position prior to the application of morphological elastic matching is proposed. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All r ights reserved.