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Handwritten Japanese Character Recognition Using Adaptive Shape Normalization by Global Affine Transformation.

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Title: Handwritten Japanese Character Recognition Using Adaptive Shape Normalization by Global Affine Transformation.
Authors: Wakahara, Toru
Source: International Journal of Computer Processing of Oriental Languages. Jun2002, Vol. 15 Issue 2, p117. 15p.
Subjects: Optical character recognition devices, Japanese character sets (Data processing)
Abstract: This paper proposes a new, promising character recognition system with a categorydependent shape normalization technique that normalizes an input pattern against each reference pattern adaptively using global affine transformation (GAT) as follows. (1) An input character pattern is fed to "the basic OCR", the most powerful of the conventional OCRs. (2) The basic OCR plays the role of rough classification and outputs a small set of candidate categories for the input pattern. (3) GAT normalizes the input pattern against each candidate's reference pattern adaptively. (4) Each adaptively normalized input pattern is fed again to the basic OCR. (5) The final recognition result is obtained using the updated "distance" values within candidate categories. In experiments, our basic OCR linked to GAT adaptive normalization is successfully applied to 28,694 patterns of totally unconstrained handwritten characters, including Kanji, Kana, and alphanumerics, written by 300 people, with substantial improvements in recognition accuracy. [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.)
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  Data: Handwritten Japanese Character Recognition Using Adaptive Shape Normalization by Global Affine Transformation.
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  Data: <searchLink fieldCode="AR" term="%22Wakahara%2C+Toru%22">Wakahara, Toru</searchLink>
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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>. Jun2002, Vol. 15 Issue 2, p117. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Optical+character+recognition+devices%22">Optical character recognition devices</searchLink><br /><searchLink fieldCode="DE" term="%22Japanese+character+sets+%28Data+processing%29%22">Japanese character sets (Data processing)</searchLink>
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  Label: Abstract
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  Data: This paper proposes a new, promising character recognition system with a categorydependent shape normalization technique that normalizes an input pattern against each reference pattern adaptively using global affine transformation (GAT) as follows. (1) An input character pattern is fed to "the basic OCR", the most powerful of the conventional OCRs. (2) The basic OCR plays the role of rough classification and outputs a small set of candidate categories for the input pattern. (3) GAT normalizes the input pattern against each candidate's reference pattern adaptively. (4) Each adaptively normalized input pattern is fed again to the basic OCR. (5) The final recognition result is obtained using the updated "distance" values within candidate categories. In experiments, our basic OCR linked to GAT adaptive normalization is successfully applied to 28,694 patterns of totally unconstrained handwritten characters, including Kanji, Kana, and alphanumerics, written by 300 people, with substantial improvements in recognition accuracy. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  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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      – SubjectFull: Optical character recognition devices
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      – SubjectFull: Japanese character sets (Data processing)
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      – TitleFull: Handwritten Japanese Character Recognition Using Adaptive Shape Normalization by Global Affine Transformation.
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              Text: Jun2002
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