第一个名为“gaborFilterBank.m”的函数生成一个自定义的Gabor滤波器组。

The first function named "gaborFilterBank.m" generates a custom-sized Gabor filter bank.

它创建了一个u乘v的单元数组，其元素为M乘N矩阵；每个矩阵都是一个二维Gabor滤波器。

It creates a u by v cell array, whose elements are m by n matrices; each matrix being a 2-D Gabor filter. 

第二个名为“gaborFeatures.m”的函数提取输入图像的Gabor特征。

The second function named "gaborFeatures.m" extracts the Gabor features of an input image. 

它创建一个列向量，由输入图像的Gabor特征组成。

It creates a column vector, consisting of the Gabor features of the input image. 

将特征向量归一化为零均值和单位方差。

The feature vectors are normalized to zero mean and unit variance.

在每个文件的末尾都有一个显示部分，用于绘制滤波器并显示过滤后的图像。

At the end of each file there is a Show section that plots the filters and shows the filtered images.  

本代码依据的参考文献：

M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification," Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015. 

作者：(C) Mohammad Haghighat, University of Miami 

haghighat@ieee.org 

源码下载地址：

http://page5.dfpan.com/fs/6lcja22122912615a22/

更多精彩文章请关注微信号：