Research And Realization On Face Detection And Face Recognition

The biological characteristic recognition is a kind of identification technology that uses the human's special physiology or behavior characteristic,it provided a kind of high reliability, good stability approach of identity appreciation. Face detection and Recognition is very popular branch of the biological characteristic recognition. And it is also a very active subject in the fields of the computer vision and the pattern recognition .The face detection is the first step of Face Recognition, this paper adopt the algorithm abstracting the haar characteristic from human face and inhuman face and then using adaboost training algorithm classifier to achieve the face diction. And do some pretreatment work that carrying out size, gradation on the face that already been detected. This paper also suggests thar the wavelet transform could be used in image processing; pick up human face's low frequency image which can be used for recognition. The experiment result show that adopting the low frequency image presents human face not only depress the image dimension, but also decrease the influence of light and t expression ,obtain a hight recognition rate.Researches on typical statistical features extraction methods, including PCA,ICA,LDA,DCT, then developed a feature combination of ICA,LDA and DCT.This paper also construct a human face recognition system based on static state picture and an online viedo human face diction and recognition system. The first one is mainly used for the static state human face database. The second one contains image login. Face detection. Human face picture pretreatment, characteristic pick-up, classify recognition, Can do face diction and recognition on the online video. It is very useful in the field of aptitude monitoring.