Speeding up the Detection of Line Drawings Using a Hash Table
| Language | English |
|---|---|
| Type | Proceedings of International Conferences |
| Authors | Weihan Sun, Koichi Kise |
| Title | Speeding up the Detection of Line Drawings Using a Hash Table |
| Journal | CJKPR09 |
| Vol. | 2 |
| Pages | pp.896-900 |
| Reviewed | Reviewed |
| Date | November 2009 |
| Research fields | Document Image Analysis, Pattern recognition |
| Key | Sun2009_CJKPR (id=1129) |
Abstract
Line drawings, such as comics, marks and logos, are an important part of image publications, which need copyright protection. Since line drawings are composed by lines, it is easy to make a similar copy by handwriting. Therefore, in the case of line drawings, copyright protection method should also be available for handwritten copies. Although a method applicable to handwritten copy detection has been proposed, its processing is time-consuming since it is based on matching a large number of local features extracted from images. In this paper, we apply a hash based method to speed up the detection of line drawings. Compared to the previous method, the detection time per image reduces from 6, 013 ms to 75 ms with almost the same detection rate. Furthermore, we have also proved that the proposed method has effectiveness for detection with a larger database.
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