Speeding up the Detection of Line Drawings Using a Hash Table

言語英語
種類国際会議等の予稿
著者Weihan Sun,Koichi Kise
論文名Speeding up the Detection of Line Drawings Using a Hash Table
論文誌名CJKPR09
Vol.2
ページpp.896-900
査読の有無有
年月2009年11月
分野文書画像解析, パターン認識
キーSun2009_CJKPR (id=1129)

要約

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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