Face Recognition Based on Kernel Fisher Discriminant Analysis under Exponential Decay

Discrete wavelet transformation was firstly used to eliminate the information which was not related to the identification in order to improve the recognition rate and effectively reduce the time complexity.To inhibit the effects of light,a strategy to pre-process the attenaution image was introduced.The experimental results,based on Yale database face,show that the combination of the above methods to deal with the KFDA has a better performance than traditional KFDA and the current zero KFDA.