Research on minority character recognition – taking small seal font as an example

HIGHLIGHTS

  • What: Due to the particularity of the small seal script that the same meaning has different glyphs, this study proposed a sample grouping algorithm based on mean nearest neighbor, NMSG.
  • Who: Chuyan Zeng from the School of Economics and Management, Tiangong University, Tianjin, China have published the research work: Research on Minority Character Recognition, in the : Proceedings of the 5th International Conference on Signal Processing and Machine Learning
  • How: The characters are mapped to the structural space composed of primitives by mapping and finally the recognition results are obtained.
  • Future: Future . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?