%0 Journal Article
%T Face recognition algorithm based on wavelet transform and 2DNMF<br>基于小波变换和二维非负矩阵分解的人脸识别算法
%A LI Kong-zhen
%A WANG Bing-he
%A LOU Hao
%A ZHENG Ye
%A <br>李孔震
%A 王炳和
%A 娄　昊
%A 郑　烨
%J 计算机应用研究
%D 2013
%I 
%X This paper advanced a new fusion recognition algorithm 2DDWT+2DNMF through synthesizing two advantages of 2DDWT and 2DNMF. It firstly used wavelet transform to decompose face image to four sub-band images. Afterwards it focused on fusion of three high frequency sub-band images, and then used 2DNMF algorithm to extract the features of low frequency sub-band image and fusion image. At last it weighted these extracted features. Experimental results from ORL and YALE face image database show that compared with PCA, SVD, NMF and 2DDWT+NMF algorithms, the new fusion method can shorten training time and improve recognition rates effectively.
%K 2D discrete wavelet transform
%K 2D non-negative matrix factorization
%K face recognition
%K image fusion<br>二维离散小波变换
%K 二维非负矩阵分解
%K 人脸识别
%K 图像融合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DD8ECC43358E540D38AA8BDD9CAC787D&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=E158A972A605785F&sid=207818BDA03879A7&eid=7671EBF56E8E19A5&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13