Filter Halaman Web Pornografi Menggunakan Kecocokan Kata dan Deteksi Warna Kulit

Yusron Rijal, Awalia Nofitasari

Abstract


This paper presents an effort to detect pornographic webpages. It was stated that a positive relationship exists between percentage of human skin color in an image and the image itself (Jones et.al., 1998). Based on the statement, rather than using the traditional method of text-filtering, this paper propose a new approach to detect pornographic images by using skin color detection. The skin color detection performed by using RGB, HSI, and YCbCr color model. Using algorithm stated by Ap-apid (Ap-apid, 2005), the system will classify nude and not-nude images. If one or more nude images are found, the system will block the webpage. Keywords: Webpage Filtering, Image Processing, Pornography, Nudity, Skin Color, Nude Images

Keywords


Webpage Filtering; Image Processing; Pornography; Nudity; Skin Color; Nude Images

Full Text:

PDF PS


DOI: https://doi.org/10.18860/ca.v1i4.1795

Refbacks

  • There are currently no refbacks.


Copyright (c) 2011 Yusron Rijal, Awalia Nofitasari

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Editorial Office
Mathematics Department,
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Gajayana Street 50 Malang, East Java, Indonesia 65144
Faximile (+62) 341 558933
e-mail: cauchy@uin-malang.ac.id

Creative Commons License
CAUCHY: Jurnal Matematika Murni dan Aplikasi is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.