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The Pattern Recognition System Using the Fractal Dimension of Chaos Theory
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 Title & Authors
The Pattern Recognition System Using the Fractal Dimension of Chaos Theory
Shon, Young-Woo;
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In this paper, we propose a method that extracts features from character patterns using the fractal dimension of chaos theory. The input character pattern image is converted into time-series data. Then, using the modified Henon system suggested in this paper, it determines the last features of the character pattern image after calculating the box-counting dimension, natural measure, information bit, and information (fractal) dimension. Finally, character pattern recognition is performed by statistically finding each information bit that shows the minimum difference compared with a normalized character pattern database.
Fractal dimension;Modified Henon attractor;Chaos theory;Pattern recognition system;Image processing system;
 Cited by
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