A Study on the Hangeul Confusion Character Recognition Using Fractal Dimensions and Attractors


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 7, pp. 1825-1831, Jul. 1999
10.3745/KIPSTE.1999.6.7.1825,   PDF Download:

Abstract

In this paper, to reduce misrecognized characters, we propose the new method that extract features from character to apply to the character recognition using fractal dimensions and attractors. Firstly, to reduce the load of recognizer we classify the characters. For the classified character, we extract the features for Box-counting dimensions, Natural Measures, Information dimensions then recognize characters. With histogram, we generate attractors and calculate dimensions from attractors. Then we recognize characters with dimensions of characters and attractors. An experimental result that the overall recognition rates for the training data and testing data are 96.03% and 91.74% respectively. This result shows the effectiveness of proposed method.


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Cite this article
[IEEE Style]
S. Y. Woo and N. J. Chan, "A Study on the Hangeul Confusion Character Recognition Using Fractal Dimensions and Attractors," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 7, pp. 1825-1831, 1999. DOI: 10.3745/KIPSTE.1999.6.7.1825.

[ACM Style]
Son Young Woo and Namkung Jae Chan. 1999. A Study on the Hangeul Confusion Character Recognition Using Fractal Dimensions and Attractors. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 7, (1999), 1825-1831. DOI: 10.3745/KIPSTE.1999.6.7.1825.