• DocumentCode
    575089
  • Title

    Definition of weight coefficient of geometric characteristics used for identification of human face on the basis of photo-portrait

  • Author

    Mahmudova, Sh.J.

  • Author_Institution
    ICCIT2011: 6th International Conference on Computer Sciences and Convergence Information Technology, Jeju Island, Korea
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 1 2011
  • Firstpage
    797
  • Lastpage
    802
  • Abstract
    The article describes definition of weight coefficient of geometric characteristics used for identification of human face on the basis of photo-portrait. Information about evaluation of the signs on the basis of statistical data, as well as about conducting experiments basing on different values is given. It is explained that the goal of the experiments is to refuse or confirm the accuracy of the signs´ evaluation. The article also investigates evaluation problems of classification and its work used in identification of human face on the basis of photo portrait. It was shown that, in identification issues a classifier should be organized in accordance with image signs. Error coefficient of classification system shows numerical size used for a good resolution of the sum. The article also provides algorithms to determine an error degree.
  • Keywords
    computational geometry; face recognition; image classification; statistical analysis; classification system; geometric characteristic; human face identification; image signs; photo-portrait; statistical data; weight coefficient; Databases; Dispersion; Eyebrows; Face; Gaussian distribution; Geometry; Humans;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology (ICCIT), 2011 6th International Conference on
  • Conference_Location
    Seogwipo
  • Print_ISBN
    978-1-4577-0472-7
  • Type

    conf

  • Filename
    6316725