Segmentation of handwritten Chinese characters from destination addresses of mail pieces

  • Yue Lu*
  • , Chew Lim Tan
  • , Pengfei Shi
  • , Kehua Zhang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In this paper, we illustrate a method to segment handwritten Chinese characters from destination addresses of mail pieces. Fast Hough transform is utilized to detect the reference lines preprinted on the mail piece. In the segmentation, subassemblies of Chinese characters are merged based on the structural features of Chinese characters and the subassemblies' topological relations, viz. upper-lower, inside-outside and left-right relations. The width of subassemblies and the spacing between neighboring subassemblies in the whole image of the destination address are analyzed to guide the merging of the left-right subassemblies. Experimental results with real mail piece images show that the proposed approach has achieved a promising performance for segmenting handwritten Chinese characters.

Original languageEnglish
Pages (from-to)85-96
Number of pages12
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume16
Issue number1
DOIs
StatePublished - Feb 2002
Externally publishedYes

Keywords

  • Character segmentation
  • Detection and removal of reference lines
  • Document image processing
  • Handwritten Chinese character
  • Postal automation

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