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Improvement of Historical-Hanja Recognition Using a Nonlinear Transform of Contour Directional Feature Vectors
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 Title & Authors
Improvement of Historical-Hanja Recognition Using a Nonlinear Transform of Contour Directional Feature Vectors
Kim, Min Soo; Kim, Jin Hyung;
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 Abstract
In Korea, OCR-based techniques have been developed for digital library construction of historical documents. In this paper, we propose the nonlinear transform of contour directional feature (CDF) vectors using log it and power transforms with skewness criterion to enhance the discriminant power. Experiments were conducted using samples from Seung-jung-won diaries (Diaries of King`s Secretaries). Our results show that proposed method outperforms the others like Box-Cox transform in this database.
 Keywords
feature extraction;character recognition;digital library;
 Language
Korean
 Cited by
 References
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