基于快速小波变换和FLD的人脸识别算法

Human Face Recognition Based on Fast Wavelet Transform and FLD

针对快速性和识别率要求较高的人脸识别应用场合,提出了一种基于快速小波变换(FWT)和Fisher线性鉴别(FLD)的人脸识别算法.首先用Haar小波对标准人脸图像分别进行1尺度和2尺度分解,然后用Fisher线性鉴别法对原始图像、1尺度和2尺度分解图像提取特征,最后利用最近邻法对提取到的特征进行识别.利用ORL标准人脸图像库对算法进行了仿真,结果表明,此算法取得了较快的识别速度和较高的识别率.

A human face recognition algorithm based on fast wavelet transform （FWT） and Fisher＇s linear discriminant（FLD） is presented to meet the requirement of quick face recognition at high rate. In the algorithm the Haar wavelet with scales of 1 and 2 is applied separately to the decomposition of typical human face, then the features are extracted from the original image and the images decomposed on the scales of 1 and 2 by FLD. （bnsequently, the features extracted are recognized by nearest neighbor classifier. A simulation of the algorithm proposed was done on the basis of ORL（Olivetti Research Lab） face database, and the results showed that the algorithm is able to recognize quickly with high recognition rate.