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Improvements of Memory Efficiency and Discrimination Power for Real-Time Document Image Retrieval on a Large-Scale Database
Kazutaka TAKEDA
Koichi KISE
Masakazu IWAMURA
Publication
D - Abstracts of IEICE TRANSACTIONS on Information and Systems (Japanese Edition) Vol.J95-D No.7 pp.1491-1494
Publication Date: 2012/07/01
Online ISSN: 1881-0225
Print ISSN: 1880-4535
Type of Manuscript: LETTER
Category:
Keyword:
document image retrieval,
real-time processing,
memory reduction,
feature selection,
LLAH,
Full Text(in Japanese): PDF(695KB)
Summary:
In order to realize a document image retrieval method for a large-scale database, we propose a method of memory reduction which is based on both sampling feature points and improvement of discrimination power of features by increasing the number of dimension and reducing redundancy.
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