Abstract：Independent component analysis (ICA) and linear discriminant analysis (LDA) are two classical feature extraction methods. To extract optimal features, fuzzy technology is introduced into the fusion method of ICA and LDA. The proposed method can extract discriminative features from overlapping (outlier) samples effectively. Firstly, ICA is employed to extract initial features. Then, fuzzy k-nearest neighbor (FKNN) is implemented to achieve the distribution information of original samples. Finally, fuzzy LDA (FLDA) is performed on the basis of the above computation, and the effective feature vectors are extracted. Experimental results on the AR, ORL and NUST603 face databases demonstrate the effectiveness of the proposed method.
王建国，杨万扣，郑宇杰，杨静宇. 一种基于ICA和模糊LDA的特征提取方法[J]. 模式识别与人工智能, 2008, 21(6): 819-823.
WANG Jian-Guo, YANG Wan-Kou, ZHENG Yu-Jie, YANG Jing-Yu. A Feature Extraction Method Based on ICA and Fuzzy LDA. , 2008, 21(6): 819-823.
[1] Zhao W, Chellappa R, Phillips P J, et al. Face Recognition: A Literature Survey. ACM Computing Surveys, 2003, 35(4): 399-458 [2] Zeng Shenggen, Zhu Ningbo, Bao Ye, et al. A Modified Fast Independent Component Analysis and Its Application to Image Separation. Journal of Image and Graphics, 2003, 8(10):1159-1165 (in Chinese) (曾生根,朱宁波,包 晔,等.一种改进的快速独立分量分析算法及其在图象分离中的应用.中国图象图形学报, 2003, 8(10): 1159-1165) [3] Yi J, Kim J, Choi J, et al. Face Recognition Based on ICA Combined with FLD // Proc of the 7th European Conference on Computer Vision. Copenhagen, Denmark, 2002: 10-18 [4] Bartlett M S, Movellan J R, Sejnowski T J. Face Recognition by Independent Component Analysis.IEEE Trans on Neural Networks, 2002, 13(6): 1450-1464 [5] Lu Juwei, Plataniotis K N, Venetsanopoulos A N. Face Recognition Using LDA-Based Algorithms. IEEE Trans on Neural Networks, 2003, 14(1): 195-200 [6] Delac K, Grgic M, Grgic S. Statistics in Face Recognition: Analyzing Probability Distributions of PCA, ICA and LDA Performance Results // Proc of the 4th International Symposium on Image and Signal Processing and Analysis. Zagreb, Croatia, 2005: 289-294 [7] Yang Jian, Yang Jingyu. Why Can LDA Be Performed in PCA Transformed Space? Pattern Recognition, 2003, 36(2): 563-566 [8] Bian Zhaoqi, Zhang Xuegong. Pattern Recognition. 2nd Edition. Beijing, China: Tsinghua University Press, 2000 (in Chinese) (边肇祺,张学工.模式识别.第2版.北京:清华大学出版社, 2000) [9] Keller J M, Gray M R, Givens J R. A Fuzzy k-Nearest Neighbor Algorithm. IEEE Trans on Systems, Man and Cybernetics, 1985,15(4): 580-585 [10] Zheng Yujie, Yang Jian, Yang Jingyu, et al. A Reformative Kernel Fisher Discriminant Algorithm and Its Application to Face Recognition. Neurocomputing, 2006, 69(13/14/15): 1806-1810 [11] Jin Zhong, Yang Jingyu, Hu Zhongshan, et al. Face Recognition Based on the Uncorrelated Discriminant Transformation. Pattern Recognition, 2001, 34(7): 1405-1416
2008, Vol. 21 
