Method of Face Recognition Based on Red—Black Wavelet Transform and PCAYuqing He， Huan He, and Hongying YangDepartment of Opto-Electronic Engineering,Beijing Institute of Technology， Beijing, P。R。 China, 100081 20701170 ＠ bit 。 edu 。 cn Abstract。 With the development of the man—machine interface and the recogni-tion technology, face recognition has became one of the most important research aspects in the biological features recognition domain. Nowadays, PCA(Principal Components Analysis) has applied in recognition based on many face database and achieved good results 。 However, PCA has its limitations： the large volume of computing and the low distinction ability. In view of these limitations ， this paper puts forward a face recognition method based on red—black wavelet transform and PCA. The improved histogram equalization is used to realize image pre—processing in order to compensate the illumination。 Then， appling the red-black wavelet sub-band which contains the information of the original image to extract the feature and do matching。 Comparing with the traditional methods, this one has better recognition rate and can reduce the computational complexity.Keywords ： Red-black wavelet transform, PCA, Face recognition ， Improved histogram equalization。1IntroductionBecause the traditional status recognition (ID card， password, etc) has some defects ， the recognition technology based on biological features has become the focus of the re—search。 Compared with the other biological features (such as fingerprints， DNA, palm prints, etc) recognition technology， people identify with the people around mostly using the biological characteristics of human face. Face is the most universal mode in human visio...
