Attributed stroke graph matching for seal imprint verification

Seongwhan Lee, Jin H. Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In this paper, a new scheme** ** The basic idea of the new scheme using attributed stroke graph matching for seal imprint verification was first reported at the International Conference on Computer Processing of Chinese and Oriental Languages, Toronto, Canada, August 1988. for automatic seal imprint verification using attributed stroke graph matching is proposed. Our scheme can handle seal imprints under much less constraints. The shape of seals can be a square, an ellipse, a circle, or any close loop. The boundary of the seal imprints is allowed to be imperfect. Furthermore, it is insensitive to the distance between the TV-camera and seal imprints. Experimental results confirm that the proposed scheme might be feasible for practical applications.

Original languageEnglish
Pages (from-to)137-145
Number of pages9
JournalPattern Recognition Letters
Issue number2
Publication statusPublished - 1989 Feb


  • Seal imprint verification
  • attributed stroke graph matching
  • fast minimum square error transform

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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