A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Method for Human Face Recognition Using Wavelet Transform and Zernike Moments
CGIV '04 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
Face recognition using fuzzy Integral and wavelet decomposition method
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Nonlinear Least Square Technique for Simultaneous Image Registration and Super-Resolution
IEEE Transactions on Image Processing
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An algorithm was proposed to recognize characters based on optimal wavelet packet (WP), Zernike moments and fuzzy integral. At first, optimal wavelet decomposition of the given character image was gotten by fuzzy rules, and characters in training set were put into n subspaces through optimal wavelet packet. Then, for each subspace, the Zernike moments were employed to get the mean membership grades of test characters with respect to each class in training set, separately. At last, the final class that test characters belonged to was declared according to aggregating the above membership grades and the fuzzy measures using fuzzy integral. The experiment proved that the proposed algorithm had a better recognition effect.