In order to solve the problems that a number of factors,such as brightness,shooting angle and the lack consideration of entirety,have a negative effect on many face recognition algorithms which were based on the facial features,and earth mover’s distance(EMD),which was fit for multi-instance learning(MIL),runs slowly on large data sets,a fast face recognition algorithm was proposed.The algorithm was based on EMD-MIL framework and information fusion technique.Firstly,both information fusion MIL framework and distance threshold were used to make algorithm perform well.Secondly,relying on instances which be composed of the three facial features and the overall character,a fast EMD-MIL framework was bring out.The fast EMD MIL framework runs more quickly than the old edition.Experimental results on the ORL and the MIT showed that this algorithm is feasible and the performance is superior to some other similar algorithms.
