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A CLASSIFICATION OF INTERNET PORNOGRAPHIC IMAGES

International Journal of Electronic Commerce Studies

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Field Value
 
Title A CLASSIFICATION OF INTERNET PORNOGRAPHIC IMAGES
 
Creator Srisaan, Chetneti; College of Information Technology and Communication, Rangsit University, Thailand
 
Subject Pornographic images; Data Classification; Skin Detection; Internet Porn
 
Description Internet pornography (Internet Porn) is addictive to teenagers and kids around the world. The normal practice is to block those websites or filter out pornography from kids. Many research papers have been published how to detect a human pornographic image on web pages. A new technique was proposed here to classify pornography images using range of YCbCr (colour feature) and three new measurements: %Face_Area, %AHB and Rmax. A computer algorithm such as C4.5 was applied to construct a decision tree. The main contribution of this paper is simplicity that retains high accuracy within an acceptable processing time. The accuracy of experimental results was 85.2% with an average processing time of 0.21314 seconds per image.To cite this document: Chetneti Srisa-an, "A classification of internet pornographic images", International Journal of Electronic Commerce Studies, Vol.7, No.1, pp.95-104, 2016.Permanent link to this document: http://dx.doi.org/10.7903/ijecs.1408
 
Publisher Academy of Taiwan Information Systems Research
 
Contributor —
 
Date 2016-05-10
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier http://academic-pub.org/ojs/index.php/ijecs/article/view/1408
 
Source International Journal of Electronic Commerce Studies; Vol 7, No 1 (2016); 95-104
2073-9729
 
Language eng
 
Relation http://academic-pub.org/ojs/index.php/ijecs/article/view/1408/316
 
Rights Copyright (c) 2016 International Journal of Electronic Commerce Studies