A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Face recognition using fuzzy Integral and wavelet decomposition method
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Recently, wavelet transform and information fusion have been used in face recognition to improve the performance. In this paper, we propose a new face recognition method based on wavelet transform and support vector machine-based fusion scheme. Firstly, an image is decomposed with wavelet transform to three levels. Then, Fisherface method is applied to three low-frequency sub-images respectively. Finally, the individual classifiers are fused using the support vector machines. Experimental results show that the proposed method outperforms the best individual classifiers and the direct Fisherface method on original images.