计算机工程与应用2012，Vol.48Issue(3)：176-178,231,4.DOI:10.3778/j.issn.1002-8331.2012.03.052
基于Gabor小波变换与分块PCA的人脸识别
Face recognition based on Gabor wavelet transform and modular PCA
摘要
Abstract
Since the dimension of face features which is presented by Gabor wavelet is too high, there has large computation and bad real-time problems if using the feature by Gabor wavelet transform for recognition directly. A new face recognition algorithm based on Gabor wavelet transform and modular PCA (Principal Component Analysis) is proposed. Face image feature is acquired by Gabor wavelet transforming face image. Its dimension is reduced and eigenvectors are extracted by the method of modular PCA. Nearest neighbor classifier is adopted to sort and distinguish. Experimental results on ORL and NUST603 indicate that the performance of proposed method is superior to other methods, such as PCA, modular PCA and combination of Gabor wavelet transform and PCA.关键词
人脸识别/Gabor小波/分块主分量分析(PCA)/特征提取Key words
face recognition/ Gabor wavelet/ modular Principal Component Analysis (PCA)/ feature extraction分类
信息技术与安全科学引用本文复制引用
王宪,陆友桃,宋书林,平雪良,许腾..基于Gabor小波变换与分块PCA的人脸识别[J].计算机工程与应用,2012,48(3):176-178,231,4.基金项目
国家自然科学基金(No.60574051) （No.60574051）
