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.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Yoon, J.P., Chen, Z. (2010). Localization and Detection of Vector Logo Image Plagiarism. In: Goel, S. (eds) Digital Forensics and Cyber Crime. ICDF2C 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11534-9_5
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DOI: https://doi.org/10.1007/978-3-642-11534-9_5
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