Extension of Real-Time Document Image Retrieval with LLAH for Japanese Documents
Language
Japanese
Type
Proceedings of Japanese Conferences
Authors
Tomohiro Nakai, Koichi Kise, Masakazu Iwamura
Title
Extension of Real-Time Document Image Retrieval with LLAH for Japanese Documents
Journal
Proceedings of MIRU 2007
Presentation number
DS-18
Pages
pp.471-472
Reviewed
Not reviewed
Date
August 2007
Research fields
Document Image Analysis, Document Image Retrieval
Key
Nakai2007_MIRU (id=988)
Abstract
We have already proposed a real-time retrieval method for English documents. It is realized with a fast and accurate image recognition method called LLAH. Since LLAH exploits only arrangements of feature points, its accuracy depends heavily on discrimination power and stability of feature points extracted from images. Therefore the method has been applicable to English documents which give centroids of word regions as discriminative and stable feature points. In this paper, we propose an improved LLAH which enables to retrieve images with less discriminative and less stable feature points such as those extracted from Japanese documets. In the presentation, we show a demonstration of real-time retrieval of Japanese documents.
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