Detail of Publication
| Text Language | English |
|---|---|
| Authors | Kazutaka Takeda, koichi Kise, Masakazu Iwamura |
| Title | Multilingual Document Image Retrieval Based on a Large-Scale Database |
| Journal | Proceedings of The 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010) |
| Pages | pp.42-46 |
| Location | Fukuoka, Japan |
| Reviewed or not | Reviewed |
| Presentation type | Poster |
| Month & Year | November 2010 |
| Abstract | 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. |
- Note
<div id="red" class="blink">This paper won CJKPR Best Poster Award</div> - Following file is available.
- Entry for BibTeX
@InProceedings{Takeda2010, author = {Kazutaka Takeda and koichi Kise and Masakazu Iwamura}, title = {Multilingual Document Image Retrieval Based on a Large-Scale Database}, booktitle = {Proceedings of The 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)}, year = 2010, month = nov, pages = {42--46}, location = {Fukuoka, Japan} }