• DocumentCode
    3611222
  • Title

    Modified chain-code-based object recognition

  • Author

    Daeha Lee ; Soon-Ja Kim

  • Author_Institution
    Intell. Cognitive Technol. Res. Dept., ETRI, Daejeon, South Korea
  • Volume
    51
  • Issue
    24
  • fYear
    2015
  • Firstpage
    1996
  • Lastpage
    1997
  • Abstract
    Chain code, a data compression technique, has been widely used to encode the contour information of an object or gesture. Although this chain code is effective for data compression, it is impossible to avoid the duplication of borders. That is, even though they represent different objects, the encoding results can be made similar. The vector chain code (VCC), which contains the direction and distance information to solve the problems of the existing chain code is proposed. Also, the integrated VCC is composed of internal and external class-based VCCs to support the encoding of objects that have multiple feature points. Experiments demonstrate that the proposed VCC achieves an improved recognition rate in comparison to that achieved by the existing chain code.
  • Keywords
    data compression; object recognition; VCC; data compression technique; modified chain-code-based object recognition; vector chain code;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2015.1019
  • Filename
    7335728