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Digital Image Evidence Detection Based on Skin Tone Filtering Technique

  • Conference paper
Advances in Computing and Communications (ACC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 190))

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Abstract

Distribution of child pornography material is one of the most disturbing cyber crimes. Cyber crime is a form of crime where the Internet or computer is used as a medium to commit the crime. With the growth of the Internet and the ease of file sharing in these days, child pornography has grown to become a worldwide issue. Most of the tools available today retrieve all the files and folders from the digital evidence file. The investigator has to search through all these files to identify relevant picture files pertaining to the child grooming case. To make an investigator’s job easier, we evolved methods to retrieve only picture files from the whole digital media or digital evidence file. Also, we suggest an optimal method to find skin component in a given picture file using skin tone detection technique.

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Author information

Authors and Affiliations

  1. Ministry of Communications and Information Technology, Govt. of India, Center for Development of Advanced Computing, Trivandrum, Kerala, India

    Digambar Povar, Divya S. Vidyadharan & K. L. Thomas

Authors
  1. Digambar Povar
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  2. Divya S. Vidyadharan
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  3. K. L. Thomas
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Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  2. Department of Communications, Polytechnic University of Valencia, Camino de Vera, 46022, Valencia, Spain

    Jaime Lloret Mauri

  3. Avaya Labs Research, Basking Ridge, NJ, USA

    John F. Buford

  4. University of Massachusetts, 100 Morrissey Blvd., 02125-3393, Boston, MA, USA

    Junichi Suzuki

  5. Rajagiri School of Engineering and Technology, Rajagiri Valley, Kakkanad, 682 039, Kochi, India

    Sabu M. Thampi

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© 2011 Springer-Verlag Berlin Heidelberg

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Povar, D., Vidyadharan, D.S., Thomas, K.L. (2011). Digital Image Evidence Detection Based on Skin Tone Filtering Technique. In: Abraham, A., Lloret Mauri, J., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22709-7_53

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  • DOI: https://doi.org/10.1007/978-3-642-22709-7_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22708-0

  • Online ISBN: 978-3-642-22709-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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