Similar Partial Copy Detection of Line Drawings Using a Cascade Classifi er and Feature Matching

LanguageEnglish
TypeProceedings of International Conferences
AuthorsWeihan Sun, Koichi Kise
TitleSimilar Partial Copy Detection of Line Drawings Using a Cascade Classifi er and Feature Matching
JournalInternational Workshop on Computational Forensics
Pagespp.121-132
ReviewedReviewed
DateNovember 2010
Research fieldsDocument Image Analysis, Pattern recognition
KeySun2010 (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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