| 基于小波变换和二维非负矩阵分解的人脸识别算法 |
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| 引用本文： | 李孔震,王炳和,娄 昊,郑 烨.基于小波变换和二维非负矩阵分解的人脸识别算法[J].计算机应用研究,2013,30(4):1275-1277. |
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| 作者姓名： | 李孔震 王炳和 娄 昊 郑 烨 |
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| 作者单位： | 1. 武警工程大学 信息工程系, 西安 710086; 2. 空军工程大学 信息与导航学院, 西安 710077 |
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| 基金项目： | 航空基金资助项目（20112096016） |
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| 摘 要： | 结合二维离散小波变换(2DDWT)和二维非负矩阵分解(2DNMF)两者的优点,提出了一种新的人脸识别融合算法2DDWT+2DNMF。首先利用小波变换把人脸图像分解成四个子块频带区域,并对三个高频子块进行图像融合,然后对低频子块和融合图像进行二维非负矩阵分解以提取特征,进而对特征数据进行加权处理。ORL和YALE人脸数据库中的识别实验表明,与PCA、SVD、NMF以及2DDWT+NMF算法相比,新融合算法能有效缩短训练时间和提高识别率。
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| 关 键 词： | 二维离散小波变换 二维非负矩阵分解 人脸识别 图像融合 |
Face recognition algorithm based on wavelet transform and 2DNMF |
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| LI Kong-zhen,WANG Bing-he,LOU Hao,ZHENG Ye.Face recognition algorithm based on wavelet transform and 2DNMF[J].Application Research of Computers,2013,30(4):1275-1277. |
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| Authors: | LI Kong-zhen WANG Bing-he LOU Hao ZHENG Ye |
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| Affiliation: | 1. Dept. of Information Engineering, China Armed Police Force's Engineering University, Xi'an 710086, China; 2. School of Information & Navigation, Air Force Engineering University, Xi'an 710077, China |
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| Abstract: | 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. |
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| Keywords: | 2D discrete wavelet transform 2D non-negative matrix factorization face recognition image fusion |
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