this book explains the face recognition algorithm using gabor wavelet

This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform

利用matlab针对图像进行马氏距离计算 ,实现了图像的灰度化并进一步用于视频监视控，Gabor小波变换与PCA的人脸识别代码。- Using matlab to calculate the Mahalanobis distance for the image, Achieve a grayscale image and further control for video surveillance, Gabor wavelet transform and PCA face recognition

IDW距离反比加权方法，Gabor小波变换与PCA的人脸识别代码，采用加权网络中节点强度和权重都是幂率分布的模型。- IDW inverse distance weighting method, Gabor wavelet transform and PCA face recognition code, Using weighted model nodes in the network strength and weight are power law distribution.