Handwritten Chinese Character Font Generation Based on Stroke Correspondence.

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Bibliographic Details
Title: Handwritten Chinese Character Font Generation Based on Stroke Correspondence.
Authors: SHIN, JUNGPIL1 jpshin@u-aizu.ac.jp, SUZUKI, KAZUNORI1, HASEGAWA, ATSUSHI1
Source: International Journal of Computer Processing of Oriental Languages. Sep2005, Vol. 18 Issue 3, p211-226. 16p.
Subjects: Chinese characters, Chinese writing, Computer fonts, Computer science, Fonts & typefaces
Abstract: In this paper, we investigate a novel method for an individual's handwritten Chinese character font generation, using stroke correspondence between the reference character database and the compressed character database, by vector quantization. Chinese characters are composed of a combination of radicals. A radical may be separated into several strokes, with each stroke corresponding to two or more common strokes. By paying attention to the characteristics of Chinese characters and the strokes that form them, we consider each stroke to be a vector and compress the stroke pattern using vector quantization. A compression rate of 1.27% is achieved by the vector quantization. We performed the evaluation experiments using both subjective and objective criteria involving 26 subjects and demonstrated that fonts generated successfully reflect the user's individual handwriting. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Computer Processing of Oriental Languages is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 18376752
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  Data: Handwritten Chinese Character Font Generation Based on Stroke Correspondence.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22SHIN%2C+JUNGPIL%22">SHIN, JUNGPIL</searchLink><relatesTo>1</relatesTo><i> jpshin@u-aizu.ac.jp</i><br /><searchLink fieldCode="AR" term="%22SUZUKI%2C+KAZUNORI%22">SUZUKI, KAZUNORI</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22HASEGAWA%2C+ATSUSHI%22">HASEGAWA, ATSUSHI</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Processing+of+Oriental+Languages%22">International Journal of Computer Processing of Oriental Languages</searchLink>. Sep2005, Vol. 18 Issue 3, p211-226. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Chinese+characters%22">Chinese characters</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+writing%22">Chinese writing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+fonts%22">Computer fonts</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22Fonts+%26+typefaces%22">Fonts & typefaces</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, we investigate a novel method for an individual's handwritten Chinese character font generation, using stroke correspondence between the reference character database and the compressed character database, by vector quantization. Chinese characters are composed of a combination of radicals. A radical may be separated into several strokes, with each stroke corresponding to two or more common strokes. By paying attention to the characteristics of Chinese characters and the strokes that form them, we consider each stroke to be a vector and compress the stroke pattern using vector quantization. A compression rate of 1.27% is achieved by the vector quantization. We performed the evaluation experiments using both subjective and objective criteria involving 26 subjects and demonstrated that fonts generated successfully reflect the user's individual handwriting. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Computer Processing of Oriental Languages is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 211
    Subjects:
      – SubjectFull: Chinese characters
        Type: general
      – SubjectFull: Chinese writing
        Type: general
      – SubjectFull: Computer fonts
        Type: general
      – SubjectFull: Computer science
        Type: general
      – SubjectFull: Fonts & typefaces
        Type: general
    Titles:
      – TitleFull: Handwritten Chinese Character Font Generation Based on Stroke Correspondence.
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            NameFull: SHIN, JUNGPIL
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            NameFull: SUZUKI, KAZUNORI
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            NameFull: HASEGAWA, ATSUSHI
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          Dates:
            – D: 01
              M: 09
              Text: Sep2005
              Type: published
              Y: 2005
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            – TitleFull: International Journal of Computer Processing of Oriental Languages
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