• DocumentCode
    2160064
  • Title

    Infrared face recognition using radative energy and decision fusion

  • Author

    Cuiqun, He ; Guodong, Liu ; Zhihua, Xie

  • Author_Institution
    Department of Mechanical Engineering, Nanchang Institute of Technology, Jiangxi, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    3785
  • Lastpage
    3788
  • Abstract
    A novel infrared face recognition method based on radative energy and decision fusion is presented in this paper. In this method, according to Stefan-Boltzmann´s law, the raw thermogram images are transformed to the radiative energy images. Then, the block-DCT is applied to get the local features of face. Finally, a method of decision fusion based on probability is presented to obtain the final result. The experiment results show the method proposed performs better on recognition rates as compared to other methods.
  • Keywords
    Databases; Discrete cosine transforms; Face; Face recognition; Feature extraction; Skin; Temperature measurement; decision fusion; discrete cosine transform (DCT); infrared face recognition; radative energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691710
  • Filename
    5691710