A novel system for detecting adult images on the internet

Jae Yong Park, Sang Sung Park, Young Geun Shin, Dong Sik Jang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


As Internet usage has increased, the risk of adolescents being exposed to adult content and harmful information on the Internet has also risen. To help prevent adolescents accessing this content, a novel detection method for adult images is proposed. The proposed method involves three steps. First, the Image Of Interest (IOI) is extracted from the image background. Second, the IOI is distinguished from the segmented image using a novel weighting mask, and it is determined to be acceptable or unacceptable. Finally, the features (color and texture) of the IOI or original image are compared to a critical value; if they exceed that value then the image is deemed to be an adult image. A Receiver Operating Characteristic (ROC) curve analysis was performed to define this optimal critical value. And, the textural features are identified using a gray level co-occurrence matrix. The proposed method increased the precision level of detection by applying a novel weighting mask and a receiver operating characteristic curve. To demonstrate the effectiveness of the proposed method, 2850 adult and non-adult images were used for experimentation.

Original languageEnglish
Pages (from-to)910-924
Number of pages15
JournalKSII Transactions on Internet and Information Systems
Issue number5
Publication statusPublished - 2010 Oct


  • Adult images
  • Image features
  • Internet
  • K-means
  • Receiver operating characteristic curve
  • Weighting mask

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications


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