Multilingual Document Image Retrieval Based on a Large-Scale Database
Language
English
Type
Proceedings of International Conferences
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
Reviewed
Presentation type
Poster
Date
November 2010
Research fields
Document Image Analysis, Document Image Retrieval
Key
Takeda2010 (id=1170)
CJKPR Best Poster Award Winner
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.
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