Multilingual Document Image Retrieval Based on a Large-Scale Database

LanguageEnglish
TypeProceedings of International Conferences
AuthorsKazutaka Takeda, koichi Kise, Masakazu Iwamura
TitleMultilingual Document Image Retrieval Based on a Large-Scale Database
JournalProceedings of The 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)
Pagespp.42-46
LocationFukuoka, Japan
ReviewedReviewed
Presentation typePoster
DateNovember 2010
Research fieldsDocument Image Analysis, Document Image Retrieval
KeyTakeda2010 (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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