文档介绍：Method of Face Recognition Based on Red-Black
Wavelet Transform and PCA
Yuqing He, the easiest way to be accepted in the
identification field and becomes one of most potential iden-tification
authentication methods. Face recognition technology has the
characteristics of convenient access, rich information. It has wide range
of applications such as iden-tification, driver's license and passport
check, banking and customs control system, and other fields[1].The main methods of face recognition technology can be summed up to
three kinds: based on geometric features, template and model separately.
The PCA face recognition method based on K-L transform has been concerned
since the 1990s. It is simple, fast. and easy to use. It can reflect the
person face's characteristic on the whole. Therefore, applying PCA method
in the face recognition is unceasingly improving.
D.-S. Huang et al. (Eds.): ICIC 2008, LNCS 5226, pp. 561–568, 2008.
© Springer-Verlag Berlin Heidelberg 2008
This paper puts forward a method of face recognition based on
Red-Black wavelet transform and PCA. Firstly, using the improved image
histogram equalization[2] to do image preprocessing, eliminating the
impact of the differences in light intensity. Sec-ondly, using the
Red-Black wavelet transform to withdraw the blue sub-band of the relative
stab