Partial Copy Detection for Line Drawings by Local Feature Matching
| Language | Japanese |
|---|---|
| Type | Proceedings of Japanese Conferences |
| Authors | Weihan Sun, Koichi Kise |
| Title | Partial Copy Detection for Line Drawings by Local Feature Matching |
| Journal | The Institute of Electronics, Information and Communication Engineers |
| Presentation number | PRMU2008-228 |
| Pages | pp.121-126 |
| Reviewed | Not reviewed |
| Date | February 2009 |
| Research fields | Document Image Analysis |
| Key | Sun2009_PRMU (id=1057) |
Abstract
Abstract Partial copy is a kind of copy produced by cropping parts of original materials. Illegal users often use this technique for plagiarizing copyrighted materials. It is often the case that illegal partial copies are used by attaching them to other materials. In addition, original parts are not necessarily copied intact but may be modified by various techniques, which make the detection quite difficult. In this report, we propose a method of copyright protection applicable to partial copies aiming especially at the protection of line drawings such as cartoons. For the case of line drawings, handwriting can be a method of modification. In order to cope with handwritten partial copies, we apply local feature matching with a database of copyrighted line drawings. We employ MSER as the region detector and HOG as the feature detector. Experimental results show that the proposed method not only performs good for detecting printed copies of line drawings, but also has effectiveness on the detection of handwritten ones, even if partial copies are embedded in complex backgrounds.
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