A Pornographic Web Patrol System Based-on Hierarchical Image Filtering Techniques

DOI

10.2991/jcis.2006.268How to use a DOI?

Keywords

Content-based Web Filtering, Image Filtering, Normalized R/G ratio, Histogram, Human Skin Detection

Abstract

Due to the flood of pornographic web sites on the internet, content-based web filtering has become an important technique to detect and filter inappropriate information on the web. This is because pornographic web sites contain many sexually oriented texts, images, and other information that can be helpful to filter them. In this paper, we build and examine a system to filter web pornography based on image content. Our system consists of three main processes: (i) normalized R/G ratio, (ii) histogram, and (iii) human composition matrix (HCM) based on skin detection. The first process is using the pixel ratios (red and green color channels) for image filtering. The second process, histogram analysis, is to estimate frequency intensities of an image. If an image falls within the range of training set results, it is likely to be a pornographic image. The last process is HCM based on human skin detection. The experimental results show an effective accuracy after testing. This would demonstrate that our hierarchical image filtering techniques can achieve substantial improvements.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chumsak Sibunruang
AU  - Jantima Polpinij
AU  - Rapeeporn Chamchong
AU  - Anirut Chotthanom
AU  - Somnuk Puangpronpitag
PY  - 2006/10
DA  - 2006/10
TI  - A Pornographic Web Patrol System Based-on Hierarchical Image Filtering Techniques
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.268
DO  - 10.2991/jcis.2006.268
ID  - Sibunruang2006/10
ER  -