Collection of on-line handwritten Japanese character pattern databases and their analyses

Masaki Nakagawa*, Kaoru Matsumoto

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

Abstract

We describe the design of on-line handwritten Japanese character pattern databases, software tools for pattern collection and verification, and analyses of collected patterns. Two databases containing over 3 million patterns were compiled: one with 120 people contributing 12,000 patterns each and another with 163 participants contributing 10,000 patterns each. Patterns were collected mostly in their sentential contexts and verified by machine and human inspection. Their analyses reveal greater variations in stroke count for characters having many strokes, with people generally using fewer strokes; they additionally reveal that stroke order variations are generally caused by common habits and added strokes.

Original languageEnglish
Pages (from-to)69-81
Number of pages13
JournalInternational Journal on Document Analysis and Recognition
Volume7
Issue number1
DOIs
StatePublished - 2004/03

Keywords

  • Character patterns
  • Data analysis
  • Database
  • Japanese characters
  • On-line patterns

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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