• DocumentCode
    584605
  • Title

    Skin Recognition Based on Color Image Enhance Algorithm

  • Author

    Hao-Kui, Tang ; Zhi-Quan, Feng

  • Author_Institution
    Inf. Sci. & Eng. Coll., Univ. of Jinan, Jinan, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    2281
  • Lastpage
    2284
  • Abstract
    Traditional skin recognition process include parameters ensuring and recognition. Most recognition focused on the accurate of parameters and taked out method of filter light information of image. Experiment proved that the light imformation can not be filter directly from image. This paper take out algorithm of skin recognition based on image enhance method. Firstly, image is enhanced non-linear transform to enhance the dark pixels. Then adjust the contrast with diagram banlance and local enhance method. In the end, renew the image with linear transform. After this process, we recognize the image with ellipse clusterring skin color model. This method has the advantage of high recogniton rate and strong robust.
  • Keywords
    image colour analysis; image enhancement; image recognition; pattern clustering; transforms; color image enhance algorithm; ellipse clusterring skin color model; image recognition; local enhance method; nonlinear transform; skin recognition; Character recognition; Computational modeling; Educational institutions; Image color analysis; Image recognition; Skin; Transforms; Color image enhance; Contrast; Diagram banlance; Ellipse skin color model; YCbCr;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.566
  • Filename
    6394884