earticle

영어

This paper presents a comparative analysis of the performance of three estimation algorithms: Expectation Maximization (EM), Greedy EM Algorithm (GEM) and Figueiredo-Jain Algorithm (FJ) - based on the Gaussian mixture models (GMMs) for a Dynamic Biometrics Face Authentication Systems. An automated biometric systems for human identification measure a “signature” of the human body, compare the resulting characteristic to a database, and render an application dependent decision. A Dynamic Face From eNTERFACE 2005 Database is used and Simulation shows that finite mixture modal (GMM) is quite effective in modelling the genuine and impostor score densities. Hence, the still face information scheme based on dynamic biometrics face is robust and could be explored for identity authentication.