Abstract
Copyright protection of image publications is an important task of forensics. In this paper, we focus on line drawings, which are represented by lines in monochrome. Since partial copies and similar copies are always applied in plagiarisms of line drawings, we propose combining the technique of object detection and image retrieval to detect similar partial copies from suspicious images: first, detecting regions of interest (ROIs) by a cascade classifier; then, locate the corresponding source parts from copyrighted images using a feature matching method. The experimental results have proved the effectiveness of proposed method for detecting similar partial copies from complex backgrounds.
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© 2011 Springer-Verlag Berlin Heidelberg
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Sun, W., Kise, K. (2011). Similar Partial Copy Detection of Line Drawings Using a Cascade Classifier and Feature Matching. In: Sako, H., Franke, K.Y., Saitoh, S. (eds) Computational Forensics. IWCF 2010. Lecture Notes in Computer Science, vol 6540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19376-7_11
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DOI: https://doi.org/10.1007/978-3-642-19376-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19375-0
Online ISBN: 978-3-642-19376-7
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