An adult image recognizing algorithm based on naked body detection

Wang Xiaoyin*, Hu Changzhen, Yao Shuping

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009
Pages197-200
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009 - Sanya, China
Duration: 8 Aug 20099 Aug 2009

Publication series

Name2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009
Volume4

Conference

Conference2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009
Country/TerritoryChina
CitySanya
Period8/08/099/08/09

Keywords

  • Adult image recognition
  • Forward propagation neural network
  • Naked body
  • Nude image

Fingerprint

Dive into the research topics of 'An adult image recognizing algorithm based on naked body detection'. Together they form a unique fingerprint.

Cite this