Abstract：Combined with wavelet transform (WT), twodimensional principal component analysis (2DPCA) and independent component analysis (ICA), a method for face recognition is presented. Firstly, the original images are decomposed into highfrequency and lowfrequency components by using WT. The horizontal and vertical highfrequency components are ignored, and the noise is eliminated. Then, dimension reduction is performed by 2DPCA, and a whitened matrix is obtained. The independent components of training samples are acquired by ICA. Meanwhile, an independent basis subspace is constructed by the independent basis of training samples. Finally, the projected features of training and the testing samples on the independent basis subspace are gained, therefore face recognition can be realized according to the nearest neighbour rule. Experimental results on Olivetti Research Laboratory (ORL) and Yale face database show that the recognition rate by the proposed method is higher than that by 2DPCA, 2DPCAICA, and WT2DPCA respectively.
甘俊英，李春芝. 基于小波变换、二维主元分析与独立元分析的人脸识别方法*[J]. 模式识别与人工智能, 2007, 20(3): 377-381.
GAN JunYing , LI ChunZhi. Face Recognition Based on Wavelet Transform, TwoDimensional Principal Component Analysis and Independent Component Analysis. , 2007, 20(3): 377-381.
[1] Bartlett M S. Face Image Analysis by Unsupervised Learning and Redundancy Reduction. Ph.D Dissertation. San Diego, USA: University of California. Institute of Neural Computation, 1998: 2737 [2] Gan Junying, Zhang Youwei, Mao Shiyi. Adaptive Principal Components Extraction Algorithm and Its Applications in the Feature Extraction of Human Face. Acta Electronica Sinica, 2002, 30(7): 10131016 (in Chinese) (甘俊英, 张有为, 毛士艺. 自适应主元提取算法及其在人脸图像特征提取中的应用. 电子学报, 2002, 30(7): 10131016) [3] Chellappa R, Wilson C L, Sirohey S. Human and Machine Recognition of Faces: a Survey. Proc of the IEEE, 1995, 83(5): 705741 [4] Yang Jian, Zhang D, Frangi A F, et al. TwoDimensional PCA: A New Approach to AppearanceBased Face Representation and Recognition. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004, 26(1): 131137 [5] Liu Chengjun, Wechsler H. Independent Component Analysis of Gabor Features for Face Recognition. IEEE Trans on Neural Networks, 2003, 14(4): 919928 [6] Hyvarinen A, Oja E. Independent Component Analysis: Algorithm and Applications. Neural Networks, 2000, 13(4/5): 411430
2007, Vol. 20 
