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Corpus-based HIT-MW database for offline recognition of general-purpose Chinese handwritten text

  • Tonghua Su*
  • , Tianwen Zhang
  • , Dejun Guan
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Harbin Engineering University

Research output: Contribution to journalArticlepeer-review

Abstract

A Chinese handwriting database named HIT-MW is presented to facilitate the offline Chinese handwritten text recognition. Both the writers and the texts for handcopying are carefully sampled with a systematic scheme. To collect naturally written handwriting, forms are distributed by postal mail or middleman instead of face to face. The current version of HIT-MW includes 853 forms and 186,444 characters that are produced under an unconstrained condition without preprinted character boxes. The statistics show that the database has an excellent representation of the real handwriting. Many new applications concerning real handwriting recognition can be supported by the database.

Original languageEnglish
Pages (from-to)27-38
Number of pages12
JournalInternational Journal on Document Analysis and Recognition
Volume10
Issue number1
DOIs
StatePublished - Jun 2007
Externally publishedYes

Keywords

  • Data acquisition
  • Handwritten Chinese text
  • Optical character recognition
  • Standardization

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