Adult image detection based on AdaBoost

Lijuan Duan*, Zecheng Sun, Chunpeng Wu, Xuebin Wang, Zhen Yang, Jian Li

*Corresponding author for this work

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Abstract

In this paper, a method of detecting adult images based on AdaBoost was proposed. We focused on the detection of the adult images that have naked breasts or naked genitalia. By using basic and rotated Haar-like features extracted from the samples in the training set, we trained a cascade detector. The detector would classify the image whether to be a pornographic one or not. The results showed that this method achieved a high detection rate and a low false alarm rate.

Original languageEnglish
Title of host publicationMaterials Engineering and Automatic Control
Pages1693-1696
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012 - Jinan, China
Duration: 27 Apr 2012 → 29 Apr 2012

Publication series

NameAdvanced Materials Research
Volume562-564
ISSN (Print)1022-6680

Conference

Conference2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012
Country/TerritoryChina
CityJinan
Period27/04/12 → 29/04/12

Keywords

  • AdaBoost
  • Adult image
  • Classification
  • Detection

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Duan, L., Sun, Z., Wu, C., Wang, X., Yang, Z., & Li, J. (2012). Adult image detection based on AdaBoost. In Materials Engineering and Automatic Control (pp. 1693-1696). (Advanced Materials Research; Vol. 562-564). https://doi.org/10.4028/www.scientific.net/AMR.562-564.1693