Similar Partial Copy Detection of Line Drawings Using a Cascade Classifier and Feature Matching
Language
English
Type
Proceedings of International Conferences
Authors
Weihan Sun, Koichi Kise
Title
Similar Partial Copy Detection of Line Drawings Using a Cascade Classifier and Feature Matching
Journal
International Workshop on Computational Forensics
Pages
pp.121-132
Reviewed
Reviewed
Date
November 2010
Research fields
Document Image Analysis, Pattern recognition
Key
Sun2010 (id=1181)
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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