Communications for Statistical Applications and Methods

  • 제11권3호
  • /
  • Pages.503-511
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  • 2004
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Improvement of Historical-Hanja Recognition Using a Nonlinear Transform of Contour Directional Feature Vectors

  • 발행 : 2004.12.01
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초록

In Korea, OCR-based techniques have been developed for digital library construction of historical documents.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.

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참고문헌

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