A human face detection recognition system on color image sires is implemented in this paper.The key technologies involved are skin hue analysis

motion analysis

primary component analysis (PCA) and support vector machine.The human faces can be detected through their hue

motion

geometry and grayscale distribution features.PCA analysis can be done through the relation between face patterns

and then the features can be extracted and selected.Using the selected features to train multiple SVMs

which can finally classify human faces.The system structure is according to the following principle:Firstly simple methods are used to reduce the search space

and then more complicated methods are used in the reduced space.So the system can have a quick response speed as well as holding high detection and recognition rate.