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Rahadian, Fauziazzuhry
Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada Jalan Grafika No. 2, Yogyakarta 55281
Engineering

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Texture Analysis for Skin Classification in Pornography Content Filtering Based on Support Vector Machine Nugroho, Hanung Adi; Rahadian, Fauziazzuhry; Adji, Teguh Bharata; Buana, Ratna Lestari Budiani
Journal of Engineering and Technological Sciences Vol 48, No 5 (2016)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (203.203 KB) | DOI: 10.5614/j.eng.technol.sci.2016.48.5.6

Abstract

Nowadays, the Internet is one of the most important things in a human?s life. The unlimited access to information has the potential for people to gather any data related to their needs. However, this sophisticated technology also bears a bad side, for instance negative content information. Negative content can come in the form of images that contain pornography. This paper presents the development of a skin classification scheme as part of a negative content filtering system. The data are trained by grey-level co-occurrence matrices (GLCM) texture features and then used to classify skin color by support vector machine (SVM). The tests on skin classification in the skin and non-skin categories achieved an accuracy of 100% and 97.03%, respectively. These results indicate that the proposed scheme has potential to be implemented as part of a negative content filtering system.
Co-Authors Buana, Ratna Lestari Budiani Hanung Adi Nugroho Teguh Bharata Adji