Face authentication using variants of elastic graph matching based on mathematical morphology that incorporate local discriminant coefficients

Two novel variants of dynamic link architecture that are based on mathematical morphology and incorporate local coefficients which weigh the contribution of each node according to its discriminatory power in elastic graph matching are proposed, namely, the morphological dynamic link architecture and the morphological signal decomposition-dynamic link architecture. They are tested for face authentication in a cooperative scenario where the candidates claim an identity to be checked. Their performance is evaluated in terms of their receiver operating characteristics and the equal error rate achieved in the M2VTS database. An equal error rate of 6.6%-6.8% is reported.