MORPHOLOGICAL TRAFFIC SIGN RECOGNITIONS

This paper looks at the issue of recognizing informational inner sign shapes of Korean traffic signs. Four quantitative similarity measures are developed that are based on mathematical morphology and binary rank statistics. Maximum similarity or minimum distance matching algorithms are presented and shown to be efficient and robust to noise.

• Supplemental Notes:
  • Publication Date: 1996 Published By: IEEE Service Center, Piscataway NJ
• Authors:
  • Jiang, Gang Yi
  • Choi, Tae Young
  • Zheng, Yi
• Conference:
  • International Conference on Signal Processing (3rd : 1996 : Peking China). ISCP '96 : proceedings ... Vol. 1
• Publication Date: 1996

Language

• English

Media Info

• Pagination: p. 531-534

Subject/Index Terms

• TRT Terms: Computer vision; Pattern recognition systems; Traffic signs
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00775523
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM