Digital Forensics and Cyber Crime. First International ICST Conference, ICDF2C 2009, Albany, NY, USA, September 30-October 2, 2009, Revised Selected Papers

Research Article

Localization and Detection of Vector Logo Image Plagiarism

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  • @INPROCEEDINGS{10.1007/978-3-642-11534-9_5,
        author={Jong Yoon and Zhixiong Chen},
        title={Localization and Detection of Vector Logo Image Plagiarism},
        proceedings={Digital Forensics and Cyber Crime. First International ICST Conference, ICDF2C 2009, Albany, NY, USA, September 30-October 2, 2009, Revised Selected Papers},
        proceedings_a={ICDF2C},
        year={2012},
        month={5},
        keywords={Logo Image Forensics Intellectual Property Theft Scalable Vector Graphics},
        doi={10.1007/978-3-642-11534-9_5}
    }
    
  • Jong Yoon
    Zhixiong Chen
    Year: 2012
    Localization and Detection of Vector Logo Image Plagiarism
    ICDF2C
    Springer
    DOI: 10.1007/978-3-642-11534-9_5
Jong Yoon1,*, Zhixiong Chen1,*
  • 1: Mercy College
*Contact email: jyoon@mercy.edu, zchen@mercy.edu

Abstract

One of the main research issues in forensic computing is to protect intellectual properties. Logo images, one type of intellectual properties, are posted in the Internet and widely available. Logo image plagiarism and theft are not unusual. Detection and localization of logo image plagiarism are crucial to protect logo intellectual property. In recent years, logo images that are written in Scalable Vector Graphics format are able to be rendered efficiently in the web browser and accessed easily. In this paper, after introducing logo images edited and rendered from scalable vector graphics, we classify all possible types of logo image plagiarism, localize a possible set of logo images being infringed using distance functions, and detect and verify logo plagiarism using reversible transformation. We believe our work is valuable to businesses involving logo creation and development.