Similar partial copy detection of line drawings using a cascade classifier and feature matching

Authors:
Weihan Sun;Koichi Kise
Affiliations:
Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan;Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan
Venue:
IWCF'10 Proceedings of the 4th international conference on Computational forensics
Year:
2010

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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.