Multilingual Document Image Retrieval Based on a Large-Scale Database

言語英語
種類国際会議等の予稿
著者Kazutaka Takeda,koichi Kise,Masakazu Iwamura
論文名Multilingual Document Image Retrieval Based on a Large-Scale Database
論文誌名Proceedings of The 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)
ページpp.42-46
発表場所Fukuoka, Japan
査読の有無有
発表の種類ポスター発表
年月2010年11月
分野文書画像解析, 文書画像検索
キーTakeda2010 (id=1170)
CJKPR Best Poster Award Winner

要約

The document image retrieval method that can support various languages has already been proposed. However, the application of this method for a large-scale database consisting of documents in various languages has not been shown yet. In this paper, we experimentally evaluate the effectiveness of this method for a large-scale database of documents in Japanese, Chinese and Korean. From the experimental results, we have confirmed that this method realizes more than 93% accuracy on a 10,000 pages database for each language.

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