Japanese / English

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.
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