An Erotic Image Recognition Algorithm Based on Trunk Model and SVM Classification

  • Qindong Sun
  • Xinbo Huang
  • Xiaohong Guan
  • Peng Gao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)


The characteristics of erotic images are analyzed in this paper and a novel algorithm for erotic images recognition is proposed. The algorithm first obtains the mask images of the recognized image by skin color detecting and texture analyzing, and then locates the possible position of human trunk in mask image according to the established model of trunk, based on which the characteristics of erotic images are extracted. Furthermore, the SVM classifier is used to recognize the erotic images based on those extracted characteristics. The experimental results show that the recognition accuracy rate of the proposed algorithm is higher than other algorithms and the proposed algorithm is efficient and effective.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Qindong Sun
    • 1
    • 2
  • Xinbo Huang
    • 3
  • Xiaohong Guan
    • 2
  • Peng Gao
    • 2
  1. 1.School of Computer Science and EngineeringXi’an University of TechnologyXi’anChina
  2. 2.School of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’anChina
  3. 3.School of Electro-Mechanical EngineeringXi’an University of Engineering Science & TechnologyXi’anChina

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