Its a key problem to abtain appropriately low-dimensioned face features in the face recognition.A face recognition method bas;ed on wavelet packet and Principal Component Analysis (PCA) is presented.Wavelet packet transform can resave the main information and details in different level.Firstly
Wavelet packet transform decomposed an image into low frequency hand and high frequency hand.Than
chooses the best-basis.Lastly
recognizes with the image based on PCA.The experimental results on Yale data-bases demonstrate the high efficiency of the algorithm in runtime and correct localization rate.