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Automatic Pornographic Detection in Web Pages Based on Images and Text Data Using Support Vector Machine

  • Conference paper
Book cover Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 131))

Abstract

The Rapid developments in Internet Technologies and usage have made it easier to share and exchange personal or business information all over the world through web pages but majority of web pages on World Wide Web are equipped with illegal or harmful contents among which web pages with pornographic contents are accessed most frequently. For last two decades, computers and Internet are not beyond the reach of children. Effortless availability of pornographic contents is a growing problem that many guardians are concerned about. Even many companies are considering this issue seriously and taking careful measures to ensure that computing resources are properly utilized. This paper proposes a technique to detect the pornographic web pages using Support Vector Machine.

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Authors and Affiliations

  1. Hindustan Institute of Technology & Management, Agra, India

    Jayash Sharma

  2. Uttarakhand Open University, Haldwani, Uttarakhand, India

    Vinay Kumar Pathak

Authors
  1. Jayash Sharma
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  2. Vinay Kumar Pathak
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Correspondence to Jayash Sharma .

Editor information

Editors and Affiliations

  1. , Department of Mathematics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Kusum Deep

  2. Department of Mathematics and, Computer Science, Liverpool Hope University, Hope Park, Liverpool, L16 9JD, United Kingdom

    Atulya Nagar

  3. , Department of Paper Technology, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Millie Pant

  4. Information Technology and Management, ABV-Indian Institute of, 109, E- Block, Gwalior, 474010, India

    Jagdish Chand Bansal

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Sharma, J., Pathak, V.K. (2012). Automatic Pornographic Detection in Web Pages Based on Images and Text Data Using Support Vector Machine. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 131. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0491-6_44

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  • DOI: https://doi.org/10.1007/978-81-322-0491-6_44

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-0490-9

  • Online ISBN: 978-81-322-0491-6

  • eBook Packages: EngineeringEngineering (R0)

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