View in EDS PDF Full Text

Handwritten Chinese Address Recognition Based on Enhanced Key Character Extraction and Holistic Word Matching.

Saved in:
Bibliographic Details
Title: Handwritten Chinese Address Recognition Based on Enhanced Key Character Extraction and Holistic Word Matching.
Authors: WANG, CHUNHENG1 chunheng.wang@mail.ia.ac.cn, HOTTA, YOSHINOBU2 y.hotta@jp.fujitsu.com, SUWA, MISAKO2 suwa@jp.fujitsu.com, NAOI, SATOSHI2 naoi.satoshi@jp.fujitsu.com
Source: International Journal of Computer Processing of Oriental Languages. Dec2004, Vol. 17 Issue 4, p287-298. 12p.
Subjects: Chinese characters, Chinese writing, English etymology, Vocabulary, Diction, Lexicology
Abstract: A handwritten Chinese address recognition (HCAR) system is proposed in this paper. Handwritten Chinese addresses are difficult to recognize because handwritten Chinese characters are characterized by a large vocabulary, complicated structure, irregular distortion and touching characters, etc. The proposed approach takes good advantage of Chinese address knowledge, and applies key character extraction and holistic word matching in solving the problem. Different from conventional approaches, the proposed approach can successfully avoid character segmentation errors. Experimental results show the proposed approach is very effective. [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
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 16702498
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Handwritten Chinese Address Recognition Based on Enhanced Key Character Extraction and Holistic Word Matching.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22WANG%2C+CHUNHENG%22">WANG, CHUNHENG</searchLink><relatesTo>1</relatesTo><i> chunheng.wang@mail.ia.ac.cn</i><br /><searchLink fieldCode="AR" term="%22HOTTA%2C+YOSHINOBU%22">HOTTA, YOSHINOBU</searchLink><relatesTo>2</relatesTo><i> y.hotta@jp.fujitsu.com</i><br /><searchLink fieldCode="AR" term="%22SUWA%2C+MISAKO%22">SUWA, MISAKO</searchLink><relatesTo>2</relatesTo><i> suwa@jp.fujitsu.com</i><br /><searchLink fieldCode="AR" term="%22NAOI%2C+SATOSHI%22">NAOI, SATOSHI</searchLink><relatesTo>2</relatesTo><i> naoi.satoshi@jp.fujitsu.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Processing+of+Oriental+Languages%22">International Journal of Computer Processing of Oriental Languages</searchLink>. Dec2004, Vol. 17 Issue 4, p287-298. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  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="%22English+etymology%22">English etymology</searchLink><br /><searchLink fieldCode="DE" term="%22Vocabulary%22">Vocabulary</searchLink><br /><searchLink fieldCode="DE" term="%22Diction%22">Diction</searchLink><br /><searchLink fieldCode="DE" term="%22Lexicology%22">Lexicology</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A handwritten Chinese address recognition (HCAR) system is proposed in this paper. Handwritten Chinese addresses are difficult to recognize because handwritten Chinese characters are characterized by a large vocabulary, complicated structure, irregular distortion and touching characters, etc. The proposed approach takes good advantage of Chinese address knowledge, and applies key character extraction and holistic word matching in solving the problem. Different from conventional approaches, the proposed approach can successfully avoid character segmentation errors. Experimental results show the proposed approach is very effective. [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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=16702498
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 287
    Subjects:
      – SubjectFull: Chinese characters
        Type: general
      – SubjectFull: Chinese writing
        Type: general
      – SubjectFull: English etymology
        Type: general
      – SubjectFull: Vocabulary
        Type: general
      – SubjectFull: Diction
        Type: general
      – SubjectFull: Lexicology
        Type: general
    Titles:
      – TitleFull: Handwritten Chinese Address Recognition Based on Enhanced Key Character Extraction and Holistic Word Matching.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: WANG, CHUNHENG
      – PersonEntity:
          Name:
            NameFull: HOTTA, YOSHINOBU
      – PersonEntity:
          Name:
            NameFull: SUWA, MISAKO
      – PersonEntity:
          Name:
            NameFull: NAOI, SATOSHI
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2004
              Type: published
              Y: 2004
          Identifiers:
            – Type: issn-print
              Value: 02194279
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: International Journal of Computer Processing of Oriental Languages
              Type: main
ResultId 1