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- W2335980437 abstract "In this paper, a novel approach to feature extraction basedon fractal theory is presentedas a powerful technique in pattern recognition. This paper presents a new fractal feature that can be appliedto extract the feature of two-dimensional objects. It is constructedby a hybridfeature extraction combining wavelet analysis, central projection transformation andfractal theory. New fractal feature andfractal signatures are reported . A multiresolution family of the wavelets is also usedto compute information conserving micro-features. We employeda central projection methodto red uce the dimensionality of the original input pattern. A wavelet transformation technique to transform the derived pattern into a set of sub-patterns. Its fractal dimension can readily be computed, and to use the fractal dimension as the feature vectors. Moreover, a modi6ed fractal signature is also used to distinguish the distinct handwritten signatures. We expect that the proposedfractal methodcan also be usedfor improving the extraction andclassi6cation of features in pattern recognition. ? 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved." @default.
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- W2335980437 date "2002-01-01" @default.
- W2335980437 modified "2023-09-22" @default.
- W2335980437 title "New methodfor feature extraction basedon fractal behavior" @default.
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