• DocumentCode
    3500863
  • Title

    An adult image recognizing algorithm based on naked body detection

  • Author

    Wang, Xiaoyin ; Hu, Changzhen ; Yao, Shuping

  • Author_Institution
    Lab. of Comput. Network Defense Technol., Beijing Inst. of Technol., Beijing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    197
  • Lastpage
    200
  • Abstract
    The nude image is an important part in adult images spreading on the Internet. A new recognizing algorithm of nude image based on the navel and body feature is proposed in this paper. The algorithm considers the naked body which is composed by trunk, limb and face as the object to be recognized. Body is taken as a combination of predefined key rectangles. The intersection of the key rectangles is the navel. Firstly, the algorithm recognizes the location of navel in an image. Then it constructs the feature vector of key rectangles. Finally, it classifies the features by Forward Propagation neural network to determine whether there is a naked body in the image or not. Experiments show that the algorithm can recognize nude images accurately, and the recognizing speed can satisfy the requirement of practical systems.
  • Keywords
    Internet; feature extraction; image classification; neural nets; object detection; Internet; adult image recognizing algorithm; feature classification; feature vector; forward propagation neural network; naked body detection; navel feature; nude image; object recognition; predefined key rectangle intersection; Communication system control; Computer network management; Computer networks; Face recognition; Feature extraction; Humans; Image recognition; Neural networks; Shape; Skin; Forward Propagation neural network; adult image recognition; naked body; nude image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5267781
  • Filename
    5267781