• DocumentCode
    1012368
  • Title

    Discrimination of planar shapes using shape matrices

  • Author

    Taza, Antoine ; Suen, Ching Y.

  • Author_Institution
    Canada Post Corp., St. Laurent, Que., Canada
  • Volume
    19
  • Issue
    5
  • fYear
    1989
  • Firstpage
    1281
  • Lastpage
    1289
  • Abstract
    An algorithm is presented for describing and discriminating binary images of planar shapes. The descriptor is a matrix that the dimensions dependent on the maximum radius of the shape. The descriptor is obtained by a polar quantization of the shape and is independent of the shape´s position, orientation, and size. The descriptors discriminate two or more shapes by measuring their degree of similarity. The shapes considered include letters of the alphabet, numerals, geometrical figures, and physical objects. The results obtained for the letters were compared to those reported by A. Goshtasby (1985). The comparison showed that the proposed algorithm provides a higher degree of discrimination
  • Keywords
    computerised pattern recognition; computerised picture processing; matrix algebra; alphabet; binary images; computerised pattern recognition; computerised picture processing; geometrical figures; letters; planar shape discrimination; polar quantization; shape matrices; Computer science; Computer science education; Computer vision; Councils; Pattern matching; Pattern recognition; Quantization; Shape measurement; Transmission line matrix methods; Visual perception;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.44049
  • Filename
    44049